2,752 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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background in computational biology, machine learning, and bioinformatics, with a passion for understanding the underlying mechanisms of gene regulation. The position provides an exciting opportunity to work
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. Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27
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, Aurora) and one of the brightest synchrotron x-ray sources in the world (APS). Candidates with a background in deep learning, computational physics, computational materials science, inverse problems
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machine learning, Computer vision, Swarms, Autonomous Robots, hardware security, and Embedded systems development is desired. The successful applicant will work on various projects on robotics and computer
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St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32 training program
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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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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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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