330 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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degree recipients interested in working to address the multiple challenges of inequality. This program intends to seed new research directions; facilitate collaboration and mentorship across disciplines
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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About the lab We are a newly established computational research group at the Translational Genomics Research Institute developing and applying pangenome methods to study genome variation and
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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Brown University, Institute for Computational and Experimental Research in Mathematics Position ID: ICERM-SPRING27 [#27092] Position Title: Position Type: Postdoctoral Position Location: Providence
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, immunohistochemistry, or genomic technologies. Demonstrated productivity through peer-reviewed publications. Preferred qualifications: Strong research background in genetic engineered mouse modeling, molecular and
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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Simons Foundation: Postdoctoral Fellowships and Fellows-to-Faculty Award Eligibility: Applicants must be ready to apply for faculty positions. Deadline Month: Varies by program Description
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cancer patients. The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal