36 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" Fellowship positions at University of Michigan
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) including training, research strengths, and publications Contact information for three professional references Questions about the position should be directed to Erin Giles at eringile@umich.edu. Job Summary
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. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information
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, and highlight overall research interests and plan (no more than 3 pages), (2) a curriculum vitae, (3) the names and contact information of three references. Please submit the materials to Sabrina Olsson
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. What You'll Do The candidate will join a multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods. We are a medicinal chemistry lab with expertise in
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meaningful information from noisy or ambiguous sensory signals? To what extent does neural plasticity in the auditory system occur via mechanisms dictated by classic theories of reinforcement learning, or does
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) plus fellow benefits. Information about available benefits can be found here . Job Summary The Project Dr. Melynda Price, Director of the Institute for Research on Women and Gender at the University
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design and performance according to standard design control and quality system practices. 3. Collate, combine, and present experimental data in a clear and concise manner. Use appropriate statistical
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* The candidate will: Benchmark/validate/adapt radiation dosimetry algorithms developed at Michigan and by industry collaborators. Develop code for data analysis. Perform patient specific dosimetry calculations and
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Apply Now How to Apply Please submit your CV, a cover letter describing your research interests and fit for the position, and contact information for three references to contacthope@umich.edu
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applications Human-centric and sensing-enabled mechanical systems Strong background in computational modeling and analysis, including finite element analysis (FEA), multiphysics simulations, and data-driven