40 parallel-computing-numerical-methods Fellowship positions at University of Michigan in United-States
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. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It is essential that applicants have excellent
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://apply.interfolio.com/167469 ; any questions or inquiries can be sent to nprieur@umich.edu . Job Summary The SEH Program is seeking a postdoctoral research fellow to join Drs. Grace Noppert and Kate Duchowny in
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
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social science research methods Applicants should contact and secure mentors, one from each of FoSS (HKU) and ISR (Michigan) to get their interest and support in mentoring before making application Modes
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bundle platform we developed to increase rigor of structure-function quantifications. We also perform CRISPRa high throughput screening and massively parallel reporter assays (MPRAs) in iPSC-CMs. A current
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sequencing to study the cellular and molecular changes. The role involves both experimental and computational work under the supervision of the Principal Investigator. Mission Statement Michigan Medicine
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Apply Now How to Apply Applicants must submit TWO separate applications: one to the President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu/ppfp-application.php
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics