33 requirements-engineering-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Yale University
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, lifestyle epidemiology, cancer outcomes, or risk prediction is preferred but not required. Training and Career Development The Postdoctoral Associate will receive strong mentorship and will have opportunities
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. The successful applicant will have a background in causal methods and quantitative techniques. A PhD in in economics, public policy, public health, or related field is required. Highly desirable is demonstrated
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pipelines and documentation Contribute to study design, interpretation of results, and preparation of manuscripts and presentations Required Qualifications PhD in bioinformatics, computational biology
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possibility of renewal for a second year, dependent upon performance and funding availability. Annual salary is $68,500. Much of the work will be remoate though will involve in-person data collection and
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evolutionarily conserved structured RNAs and candidate mammalian riboswitches from large genomics and transcriptomics datasets. The position will involve close collaboration with experimental scientists who will
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submit (1) a cover letter describing your research interests and interest in the position, (2) a curriculum vitae, (3) contact information for two references, and (4) (preferred but not required) a
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development awards as well as pilot grants. Salary for this position is $68,500. Required Qualifications: -Commitment to working with persons with sickle cell disease -Doctoral degree -Prior experience in
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, may be required to disclose whether they are, or have been, the subject of any disciplinary proceeding (investigation, hearing, etc.) at previous institutions or employers, and may also be subject to a
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Hires The final candidate, upon acceptance of a contingent offer of employment/faculty appointment, may be required to disclose whether they are, or have been, the subject of any disciplinary proceeding
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interests relevant to perinatal or pharmacoepidemiology, are preferred. The position will require extensive experience with programming languages and statistical software packages, such as R or SAS