47 parallel-and-distributed-computing-phd Fellowship positions at University of Michigan
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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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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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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
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and program-wide seminars and journal clubs. They will have opportunities to drive undergraduate and graduate students and to teach new skills to technicians and other members of the research group
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Summary The Tenuta Lab at the University of Michigan seeks exceptional applicants to join a vibrant research program focusing on developing new generation therapies for dental caries. Strong focus
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that target dental pathogens. The successful candidate will have opportunities to interact with external collaborators, such as computational biophysicists or medicinal chemists. The position would be ideal
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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
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in top venues such as CVPR, ICLR, ICCV, NeurIPS, AAAI, ECCV, MICCAI, IPMI, ICRA, IROS, RSS, and associated journals. Required Qualifications* PhD in Computer Science, Robotics, Electrical Engineering
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for external funding. Assist with supervision and training of junior lab personnel Required Qualifications* PhD or equivalent in the biomedical sciences. Must be able to perform basic molecular and cellular
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surveys, focus groups, organizational audits, and stakeholder convenings. Coordinate data collection, management, analysis, and interpretation to inform program development and institutional recommendations