58 phd-computing "https:" "CIPMM Systemic Neurophysiology" Fellowship positions at University of Michigan
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Planning is looking for a postdoctoral researcher in computational design and advanced knitting as part of the ASICS x Michigan Sport Innovation Center (AMSI). Reporting to Sean Ahlquist, associate
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Date: August 15, 2026 (negotiable) Specialty Areas: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan
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multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods for ecosystem health. See https://www.youtube.com/watch?v=W4HxzWaK1Vo . We are a medicinal chemistry lab
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wide range of topics, including computation biology/bioinformatics, glial biology, neurodevelopment and neurodegeneration. Current lab research projects include, but not limited to, these related areas
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radiological data, such as MR, CT and pathological images. Required Qualifications* The ideal candidate will have: A PhD degree in computer science, electrical or biomedical engineering, or medical physics
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Apply Now How to Apply Please apply via this Submission Form by copying address into your browser: https://forms.gle/w6xrkTy6Dz6E6xk38 In addition, please add your application materials by
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. The position will focus on developing computational algorithms and tools for the analysis of mass spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational
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based within the Supporting Transition and Employment Pathways Research Lab (STEP; https://step-lab.ssw.umich.edu/ ), an interdisciplinary research group dedicated to advancing disability inclusion by
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of QRI Fellow Mentors can be found here: https://quantum.umich.edu/fellows/ . Open to all quantum science and technology disciplines, including spectroscopy, photonics, devices, sensing, computation
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Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance computing environments. Experience with