Science Jobs in Sunnyvale, CA

2) Design/fabrication of diffractive optic structure; 3) Define novel inspection systems concepts and configurations; and 4) Design or implement experiment DOEs (design of experiment) for either materials selection or tackle a process related issue. Salary Range: $118,955.00 - $162,968.00 per year To apply, please email your resume to Applied Materials, Inc.

at Must include Req #H5123. [#LI-DNI]

and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to You Tube, Social to Local, Google engineers are changing the world one technological achievement after another.

As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. The US base salary range for this full-time position is $216,000-$317,000

bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

10 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a Ph D degree. Preferred qualifications: 12 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a Ph D degree. Responsibilities Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.

Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.

g. SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Requisition #: 101426695900144326pca3lyuhf

better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google

Ads to Chrome, Android to You Tube, social to local, Google engineers are changing the world one technological achievement after another. The US base salary range for this full-time position is $164,000-$252,000 bonus equity benefits.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location

during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Learn more about benefits at Google. Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e. g. Python, R, SQL) (or 8 years of work experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e. g. Python, R, SQL). Responsibilities Perform analysis utilizing relevant tools (e. g. SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e. g. suggests new analyses, infrastructure or experiments to drive improvements in the business). Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives. Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization.

Requisition #: 85455490642780870pca3lyuhf

sorption and desorption rates at a fraction of the sorbent cost versus state-of-the-art sorbents under passive DAC conditions. The company's approach combines the Spiritus Sorbent and the Spiritus Carbon Orchard, offering a scalable and modular system for low-cost DAC and sequestration (DAC+S).

Spiritus is committed to making carbon removal an accessible and practical tool in the global fight against climate change. Spiritus is seeking a Materials R&D Scientist to accelerate the development of sorbent materials. The role will have responsibility for developing synthetic methods to enhance critical sorbent performance characteristics, develop analytical methods and QA/QC diagnostics, and

ensure the sorbent is cost-effective, durable, and manufacturable. The position will be a key member of the materials development team and report directly to the CTO.

The candidate will: Work as part of a team in a fast paced rapidly changing environment to establish research direction and priorities. Develop scalable and manufacturable synthetic methods to improve sorbent performance characteristics. Demonstrated ability to rapidly develop and explore R&D concepts. Interface with internal engineering resources and partners to refine/improve DAC system concepts. Interface with the Director of Manufacturing and manufacturing resources to refine and improve sorbent manufacturability, quality,

and cost. Work as part of a team to develop diagnostics for sorbent characterization, and rational manufacturing quality assurance and control.

The candidate will have: Experience in polymer chemistry, synthetic organic, and/or main group chemistry. Experience in materials development, characterization, and manufacturing. A Ph D in chemistry, materials science, or a suitable combination of education and experience. Where you will work: The Spiritus Technologies development facility is located in the beautiful and sunny mountainous region of northern New Mexico (White Rock, 10 mins from Los Alamos). Numerous outdoor activities include 100s of miles of mountain biking trails, rock climbing, hiking, and skiing at Pajarito, Santa Fe, and Taos within 20-80 minutes.

Benefits: Employees of Spiritus Technologies PBC have access to a 401k Retirement Plan as well as very competitive medical insurance with a nationwide network as well as dental and vision insurance. Flexible schedules and time off (paid sick, vacation, and holidays). Spiritus Technologies PBC is an Equal Opportunity Employer and is committed to developing a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, interaction, gender identity, interactionual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations.

We are committed to making our workplace accessible to individuals with disabilities and will provide any necessary accommodations, upon request, for individuals to participate in the application and hiring process. Apply for this job: jobs. /spiritus/64a90e5e-ef18-42d3-b047-7d4e3151ee4f? utm_source=90w Yyq Pq8V

to patient care, and responsiveness to referring providers; multidisciplinary researchers who continue to push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging; staff who are dedicated and engaged in moving the mission of the department, school, and university forward.

The Section of Neuroradiology is seeking a full time Life Science Research Professional (LSRP) to perform basic functions and activities involved in defined research projects, and independently conduct and analyze experiments in the Zaharchuk lab. The LSRP will be involved in defined research projects and will be responsible for independently

conducting and analyzing experiments related to neuroimaging technology to neurosciences problems. The LSRP is responsible for assigned research projects and will independently carry out analysis to completion The LSRP is expected to interpret and analyze the results and suggest modifications to procedures as appropriate.

The LSRP is responsible for maintaining detailed records of experiments and outcomes, conducting analyses and literature reviews. Other responsibilities include lab management tasks such as ordering supplies and maintaining lab records. The LSRP is expected to keep abreast of scientific literature and contribute new ideas and techniques to the lab. Duties include: Plan

approach to experiments in support of research projects in lab and/or field based on knowledge of scientific theory.

Independently conduct experiments; maintain detailed records of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researcher. Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research. Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.

Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed. Assist with orientation and training of new staff or students on lab procedures or techniques. Other Duties may also be assigned. This is a one-year fixed term position with a possibility for renewal. DESIRED QUALIFICATIONS: Image interpretation and manipulation using OSIRIX on Macintosh Ability to use image processing softwares, including Matlab, Image J, FSL, SPM, ITKsnap Ability to develop Linux-based scripts, program in Python, use of Git Hub Experience with medical imaging datasets Experience with basic statistics for health sciences Experience with AI software frameworks, including Tensor Flow, py Torch, and Keras.

EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes.

General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to accurately complete detailed work. PHYSICAL REQUIREMENTS: Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.

Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. Must have correctible vision to perform duties of the job. Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. Ability to lift heavy objects weighing up to 50 pounds. Ability to work in a dusty, dirty, and odorous environment. Position may require repetitive motion. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS: May require working in close proximity to blood borne pathogens. May require work in an environment where animals are used for teaching and research. Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. May require extended or unusual work hours based on research requirements and business needs.

WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http: //adminguide.

stanford. edu. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions. As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors.

To learn more about COVID policies and guidelines for Stanford University Staff, please visit cardinalatwork. stanford. edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy For more details: jobs-search. org/research-assistant_stanford-c426101/job_i1966533797