24 computer-programmer-"the"-"IMPRS-ML"-"UCL"-"FEMTO-ST"-"U.S"-"https:" "CEA" Fellowship positions at University of Michigan
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for a postdoctoral researcher in computational design and digital fabrication. Reporting to Tsz Yan Ng, associate professor of architecture, you will work on robotic 3D printing processes such as concrete
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. GLISA works at the boundary between climate science and decision making, striving to enhance Great Lakes communities capacity to understand, plan for, and respond to climate impacts now and in the future
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-disciplinary research program that couples clinical, computational and basic research, epitomizing our bench-to-bedside philosophy. The position will leverage a combination of cutting-edge techniques
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to facilitate a multifaceted Digital Scholarship Fellows program. This program, which will comprise student, faculty, and community fellows, will offer a way for the Digital Scholarship program to meet existing
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administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. Contact Information Questions about the fellowship program may be directed to Dr
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. This is an advanced clinical training program beginning February 3, 2026, and ending February 2, 2027, with an opportunity to extend for a second year. The mission of this Post-MSW graduate training program
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opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include: Generous time off A
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, computer science, or equivalent disciplines. Good written and verbal communication skills in English. Ability to work independently or collaboratively with a diverse research team. Desired Qualifications
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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