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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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Position Description The Department of Mathematics, Computer Science, and Digital Forensics at Commonwealth University of Pennsylvania – Bloomsburg seeks two full-time tenure-track Computer Science
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. We seek a world-class AI researcher, a computer scientist with a record of technical innovation and a clear-eyed vision for how AI is shaping the world. The ideal candidate will be an accomplished
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
environment with the physicians, staff, and all health providers. Performs phlebotomy, CPR, Injections, and other skills within scope of practice. Demonstrate proficiency in computer skills, Windows
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- Comprehensive Cancer Center - Contingent/IRP Department: Arts and Sciences | Molecular Genetics Administration-JM Researcher will design, carry-out, and analyze molecular biology experiments in the field of
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- Comprehensive Cancer Center - Contingent/IRP Department: Arts and Sciences | Molecular Genetics Administration-JM Researcher will design, carry-out, and analyze molecular biology experiments in the field of
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modeling brain circuits and neural activity from large-scale, multi-regional recordings Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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cellular biology, including AlphaFold, RFDiffusion, CellCap, or related systems Experience with large-scale datasets, distributed training, or high-performance computing environments Expertise in
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computing environments Interest in scientific applications of AI/ML, including the life sciences Interest in alternative architectures and systems-level approaches to AI Special Instructions Please
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) and the Martinos Center for Biomedical Imaging (Harvard/ MIT /Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest