32 postdoc-parallel-computing Fellowship positions at University of Michigan in United States
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab
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Apply Now How to Apply To be considered for this position, applicants should submit the following materials: a cover letter, CV, one example of scholarly work, one example of a program that reflects
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. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is integral to its mission and vision of leading advances in
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information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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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 A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Please...
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, revenge and forgiveness, information disclosure, and impression management. Our lab uses mixed methods: incentivized behavioral experiments, hypothetical vignette scenario studies, NLP and computational