2,791 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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prospective postdoc, or in the early stages of postdoctoral training (within 1-2 years of PhD conferral), and have experience in generating and evaluating human or murine immune cells, gene editing, single cell
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
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completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
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. The NOAHS Lab is led by Prof. Alan Wang (alan_wang@baylor.edu), who is the Mearse Endowed Chair Professor at the Department of Electrical and Computer Engineering. During his research career, Prof. Wang has
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interface is required. Experience with one or more of the following is desired: large-scale genomic analyses, variant calling, cloud computing, machine learning methods, and or statistical genetics. Job
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cell fate and circuit formation in developing Drosophila brains. The lab combines a variety of cutting-edge experimental and computational techniques including single-cell RNA and ATAC sequencing
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Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering
: 6380074 University of California Irvine Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering Position overview Salary range: The salary range
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interests. www.cemm.at Eligibility Criteria: You must hold a PhD (or will have been awarded your PhD by the time of starting the Pre-ERC Postdoc Program) and your PhD defence date must be no earlier than 2023
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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performs MRI research and development of advanced multiparametric methods for the evaluation of primary and metastatic brain tumors. Recent work incorporates machine learning methods to advance