accessibility, single-cell RNA sequencing, bulk RNA sequencing, small RNAs, RNA modifications, metagenomes, metabolomes, genome-wide association, and epigenome-wide association), and develop necessary pipelines to discover biomarkers of inherited non-genetic diseases and pathways to the disease, including using the artificial intelligence approach.
Dr. Bhandari's research concerns the intra-, inter-, and transgenerational inheritance of environmentally induced adverse health outcomes and mitigation of reproductive and metabolic health crises in subsequent generations by blocking the pathways to the disease. His research group has demonstrated using medaka fish that environmentally induced
non-genetic imprints can be transmitted vertically from one generation to another across several generations. Using state-of-the-art techniques of epigenome editing (CRISPR-d Cas9), the group is striving to remove non-genetic imprints and understand their role in the onset and progression of the observed reproductive and metabolic health abnormalities.
Qualifications Minimum Qualifications: A Ph. D. in bioinformatics, computer science, or biological sciences by time of appointment. Candidates will be evaluated on: Experience in the development of bioinformatic analysis pipelines for humans and rare model species Knowledge and skills in machine learning or artificial intelligence in biological
and biomedical sciences Experience in analyzing large data sets and statistical analysis.
Application Materials Use the online application and be prepared to upload your CV, research statement, and unofficial transcripts (Ph. D. ). Applicants must arrange to have three letters of recommendation emailed directly to Ramji Bhandari at value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.
In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement. Applicants may contact the Chair of the Search Committee Ramji Bhandari and with any questions about the job duties. Contact Human Resource Services ( ) for any questions about the application process. Applications will be reviewed starting Nov 27, 2023, and the position will remain open until filled. Benefit Eligibility This position is eligible for University benefits. The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts.
For additional information on University benefits, please visit the Faculty & Staff Benefits website at http: //www. umsystem. edu/totalrewards/benefits Values Commitment We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement.
This commitment makes our university a better place to work, learn and innovate. In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement. Equal Employment Opportunity The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, interaction, pregnancy, interactionual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law.
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