Medical Secretary Needed for Internal MedicinePay: $15-

threats. We specialize in collecting and processing a wide range of data types -including radar, video, imagery, text, point cloud, transactional, and body: worn sensor data - from bothcommercial and Laboratory: developed sensors. We often apply advanced machine learning methods to convertraw data into actionable insights about the activities of threat actors, networks, or organizations.

Our ultimategoal is to field solutions that significantly enhance the decision: making process of analysts and operators whosecure the homeland. Learn more at ll. mitr: d/homeland: protection/homeland: sensors: andanalytics. Job Description Our group is looking for motivated researchers and engineers

who would like to address critical problems requiring machine learning as part of collaborative, interdisciplinary teams. Specifically, the candidate will aid in the design, implementation, and testing of machine learning algorithms relevant to Homeland Security and Defense applications.

Knowledge of state: of: the: art machine learning techniques is considered important, as well as experience with the design and implementation of such methods on image, video, text, or other sensor data processing tasks. This position will provide the opportunity to learn about mission: relevant applications of AI, conduct independent research (including model design decisions and performance backssments),

and discuss the results of that research within collaborative team settings.

Requirements: Bachelor of Science degree in computer science, mathematics, electrical engineering, information science, data science, or an equivalent field.Prior exposure to machine learning algorithms, through coursework or research. This includes deep learning techniques in addition to more general machine learning methods (e. g. Bayesian inference).Proficiency with Python.Experience with common computer vision, natural language processing, or machine learning toolboxes (Py Torch, Pandas, Open CV, Tensor RT, libtorch, etc). Desired Skills: Experience with experimental design methods.Familiarity with additional algorithm development environments/languages like Matlab or C++.Experience with flexible deployment mechanisms such as containers is a plus, but not required.

For Benefits Information, click hrweb. mitbenefits Selected candidate will be subject to a pre: employment background investigation and must be able to obtain and maintain a Secret level Do D security clearance. To safeguard our health and well: being, MIT Lincoln Laboratory requires COVID:19 vaccination for all employees. Individuals may request exemption from the vaccine requirement for medical or religious reason.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, interaction, interactionual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U. S. citizenship is required. Requisition ID: 39641

in precision engineering, opto: mechanisms, electronics packaging, large structures, composite materials, and additive manufacturing. We are the Engineering Divisions center for 3D design and data management, and are involved in every step of a programs execution from conceptual design to system integration and test.

Job Description The group seeks a student technical assistant to assist technical staff members with cutting: edge research and program execution in the Mechanical/Aerospace engineering field. Duties could include: : Engineering design including concept development using CAD software to make part models, generating drawings, and ensuring proper fabrication of parts. Structural

analysis including creating and running finite element models, analyzing model results, structural or thermal testing, and creating databases. Hands: on work including prototyping, 3D printing, assembly, integration and testing of mechanical, opto: mechanical, and electro: mechanical systems.

Testing duties may include test design, execution, and data analysis. In addition to specific technical tasks, an employment experience at Lincoln Laboratory offers: : The opportunity to generate real: world impact to national security and broader society through your work on challenging technology problems. Exposure to a broad and deep range of technologies, expertise, and senior government stakeholders.

A strong culture of team success through individual growth.

This includes technical and professional development courses, and mentorship opportunities to continue your career journey. A diverse workplace with an emphasis on work: life balance, employee resource groups, and other exciting opportunities. The successful candidate will be enrolled in an undergraduate or graduate degree program of study in Mechanical Engineering, Aeronautics/Astronautics, Aerospace Engineering, Civil Engineering, or Physics and have completed Mechanics of Materials or equivalent class. CAD, finite element analysis or prototyping experience is preferred, but not required.

Candidates considered must have a GPA 3.5/4.0 or higher. Selected candidate will be subject to a pre: employment background investigation and must be able to obtain and maintain a Secret level Do D security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, interaction, interactionual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U. S. citizenship is required. Requisition ID: 40650

for ground: based radar systems, custom printed circuit boards (PCBs) for space: borne data processing, and highly integrated mechanical packaging for undersea communication terminals. Core mechanical competencies span precision fabrication, additive manufacturing, and 5: axis machining.

The group concentrates on high: complexity parts, quick: turn capabilities and activities that require concurrent engineering with program teams. Core PCB capabilities include design for manufacturability (DFM), automated solder paste dispensers, precise pick: n: place machines, and automated optical inspection systems. Assembly, integration, and test capabilities include integration spaces, clean rooms,

vibration testing, thermal testing, and space simulation chambers. The Group focuses on state: of: practice prototyping capabilities, technical excellence, exceptional collaboration and outstanding operation.

Position Description The Group seeks a talented, creative, and motivated entry: level component engineer to strengthen the Group's ability to provide rapid and innovative solutions to challenging problems. The successful candidate will collaborate with an interdisciplinary team consisting of program team members, internal shop operations and other group members to provide guidance and support of printed circuit board (PCB) design, component selection and PCB assembly. The ideal candidate

will bridge the gap between program needs and fabrication execution for PCB assembly.

This position will allow the individual to gain valuable experience by working directly with more senior component engineers and program team members as he/she learns to backss electronic component suitability for spacecraft payloads and other high reliability applications. Furthermore, the individual will have the opportunity to work directly with an experienced fabrication team while he/she facilitates the successful fabrication of PCB assemblies that are necessary to achieve program objectives. There are opportunities to grow in many exciting areas such as program management, research and technology development, operations management, and contributions to the creation of a state: of: the: art fabrication facility.

Specific job functions may include: backss electronic, physical, and environmental suitability of electronic components for specific program requirements and application: Research manufacturers' specifications to determine if parts require special modification, test, or handling for use: Develop expertise in more advanced areas to increase overall effectiveness: Facilitate the successful fabrication of PCB assemblies Requirements : Bachelor's degree in electrical engineering or equivalent : Proven leadership skills and ability to thrive in a team environment: Recognized self: motivator that seeks to continuously learn and challenge himself/herself: Ability to multi: task and drive issues to closure: Excellent written and oral communication skills Preferred Experience (not required) : Experience utilizing digital engineering methodologies and data systems: Experience with fabrication operations and supply chain management: Experience with component engineering and military/space electronic component standards: Experience with PCB design and assembly CJ At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work: life balance.

Benefits offered to employees include: : Comprehensive

of experimentation and prototyping. The group supports Army, Air Force, Special Operations Forces, and the Intelligence Community in a wide variety of prototyping efforts principally focused on radio frequency systems and autonomous vehicles. The Group consists of talented technical staff with expertise in electromagnetics, signal processing, radio frequency systems, antenna design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.

Job Description The Advanced Capabilities and Systems Group is seeking candidates to conduct research and analyze advanced wireless communication, radar, and electronic warfare techniques

and signal processing algorithms both in the laboratory and in the field. Strong candidates will have experience with signal processing theory, which may include digital communications, RF propagation phenomena, modulation and coding, medium access control, and/or multiple access techniques.

Requirements The Advanced Capabilities and Systems Group is seeking candidates to assist in the curation of computer vision datasets and in the training and evaluation of computer vision models. Strong candidates will have experience with deep learning theory and the Pytorch software framework. Pursuing a BS in Computer Science, Mathematics, or similar fields. Desired Skills Experience in deep learning

frameworks (e. g. Pytorch), data analysis tools, and Python programming experience is strongly desired.

#CJ At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: Comprehensive health, dental, and vision plans MIT-funded pension Matching 401K Paid leave (including vacation, sick, parental, military, etc. ) Tuition reimbursement and continuing education programs Mentorship programs A range of work-life balance options. and much more! Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level Do D security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, interaction, interactionual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U. S. citizenship is required. Requisition ID: 40564