50 computer-science-programming-languages-"UCL"-"UCL" Fellowship positions at University of Michigan in United States
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experience in one of the following: concrete and clay 3D printing research, robotic programming, architectural design, engineering, or construction Experience in performance testing and data capture (bench
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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analysis. Required Qualifications* A PhD in hydrology, water resources engineering, environmental science, civil engineering, atmospheric sciences, computer science, or a related field is required either
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will conduct cutting-edge research at the intersection of AI/DL modeling, hydrological sciences, and weather/climate sciences, with a focus on applications to extreme weather forecasting (hurricanes
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program for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of
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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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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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/30929265/ ). This MIP Postdoctoral Scholars program has significant resources to promote professional development, skill-based workshops, and community networking events. The program also provides
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Apply Now How to Apply Applicants must submit TWO separate applications: one to the President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu/ppfp-application.php
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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