44 phd-in-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" Fellowship positions at University of Michigan
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to extend based on the availability of funds, availability of work, and performance. Required Qualifications* A PhD in Economics or closely related field is required on or before the start date. Employment
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Cancer Section. He/she will be an integral member of research team whose focus is epigenetics and drug resistance in prostate cancer. Our laboratory focuses on identifying mechanisms by which key chromatin
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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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independent Postdoctoral Researcher to join our laboratory, starting January 2026 (start date flexible). Our lab investigates the neuroendocrine mechanisms underlying parental behavior, with a particular focus
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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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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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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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development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
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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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the cellular signaling mechanisms driving tumor recurrence and metastasis. Our research leverages expertise in cell biology and molecular imaging to investigate cancer cell heterogeneity, with particular focus