29 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"Prof"-"O.P" Fellowship positions at University of Michigan in United States
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machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes of Work Hybrid
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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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Benefits at the University of Michigan 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. For more
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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 generous time off; retirement plan with two
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provided each year. Fellows are eligible for University employee benefits programs including health and life insurance options. Mission Statement SEAS At the University of Michigan School for Environment and
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proposals and acquiring data from outside agencies. May act as a liaison with other departments, programs, or organizations for acquiring data and sharing information related to the research project. Required
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applications. Our research program consists of two main thrusts, 1) the development and application of state-of-the-art laser and optical sensing techniques - both on the ground and in flight - to better
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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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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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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences