41 phd-computational-"IMPRS-ML"-"IMPRS-ML" 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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successfully defended their PhD by August 1, 2026. Applications are open to scholars regardless of citizenship or permanent residency status. Modes of Work Positions that are eligible for hybrid or mobile/remote
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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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experiences to help further our mission. The successful candidate(s) will have: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest
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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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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience
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, and present findings at national and international conferences. Required Qualifications* Prospective candidates for this position are required to have a minimum of a MD, DVM, or PhD degree (in
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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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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with