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Biological Sciences Division - The University of Chicago | Chicago, Illinois | United States | about 2 months ago
translational therapeutics, including programs that bridge chemistry, biology, engineering, computation, pharmacology, and medicine . We are particularly interested in candidates who develop
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computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance on parallel file systems. You will develop solutions for monitoring
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discovery in stem cell biology and organoid-based research. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence
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laboratory works at the intersection of engineering, physics, computation, and clinical medicine, with opportunities to participate in device development, optical system design, image and signal analysis
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and infrastructure. Our department is closely aligned with MSU’s Institute for Quantitative Health Science and Engineering ( https://iq.msu.edu/) . Research and training opportunities are available
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Posting Details Position Information Position Title Empire Innovation Professor, Artificial Intelligence Department Department of Computer Science and Engineering Posting Number F240110 Posting Link
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
at https://e-core.nws.cs.unibo.it/ . What we offer E-CoRe is a European doctoral network on reversible computing. Reversible computation discards no information and therefore avoids the fundamental
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natural, biomedical, computational, engineering, or social sciences. For such candidates, we regard publication in the leading venues of their chosen field as central evidence of impact, on equal
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, immunology, metabolism, neuroscience, cancer, infectious disease, inflammatory disease, and other areas of human biology Programs that bridge clinical departments with basic science, engineering
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of biological hearing? As our new colleague, you will help pioneer novel applications of neuromorphic computation in acoustics. By combining spiking neural networks, event-driven sensing, and classical