24 computer-programmer-"https:"-"FEMTO-ST"-"https:" Fellowship positions at University of Michigan
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high
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to plan and carry out clinical trials, observational studies, and database analyses. Analyzing quantitative data using statistical software such as R or SAS and going through the code and analytics with
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both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials, complex hydrodynamics and hydroacoustics
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chromatin and nuclear structures during development (www.lsi.umich.edu/science/our-labs/herman-fung-lab). Qualified applicants will have experience in cell, structural or computational biology and a passion
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detailing the status of ongoing work, using spreadsheets, word processing, and graphics computer programs, participating in lab meetings, and accomplishing general laboratory tasks and other related tasks as
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addition to a career filled with purpose and opportunity, U-M offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include
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computational molecular docking software would also be beneficial. The candidate is expected to be a good team player and have excellent oral and written communication skills. Mission Statement Michigan Medicine
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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in the position and outline skills and experience that directly relate to this position. Job Summary The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced