2,784 high-performance-computing-postdoc uni jobs at University of Michigan in United-States
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Apply Now How to Apply ATTENTION: FACULTY APPLICANTS APPLY HEREhttps://apply.interfolio.com/168721 to view the position details and submit your application materials. The University of Michigan - Flint currently utilizes Interfolio for all faculty postings. DO NOT USE THE "APPLY NOW" BUTTON AT...
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graduate students and postdocs in generating hypotheses, performing experiments, analyzing data, and drafting papers. Assist in grant budget management tasks and grant writing for future projects. Attend and
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in the position and outline skills and experience that directly relate to this position. Job Summary This Research Investigator position is to assist a senior investigator in running a research program
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technician position is available in the Ledvina Lab of molecular microbiology at the University of Michigan. The lab combines bacterial genetics, protein biochemistry, high-throughput assays and bioinformatics
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. This position offers a unique opportunity to lead and contribute to high-impact research at the intersection of plasma physics, high-performance computing, and advanced data science. The successful candidate will
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are senior undergraduate, graduate, or postdoc students, including those interested in gaining experience in AI and cybersecurity. Responsibilities* Design and implement machine learning techniques for web
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of the following schools: Osborn High School, Detroit This program aims to inspire students to explore higher education opportunities, guide them through university admissions and financial aid processes, and
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relate to the duties described below. Job Summary Works as part of a collaborative team of postdocs, graduate students, and undergraduate students to progress research in experimental atomic physics
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assisting with clinical procedures, performing diagnostic testing, maintaining equipment, and providing direct patient care. You will play a key part in ensuring smooth patient flow, delivering high-quality
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of infected cells. More specifically, the candidate will employ high content imaging and artificial intelligence computer vision approaches coupled with CRISPR/Cas9 screening to identify parasite genes