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is located in Pittsburgh, PA, a city with a vibrant research and tech community. The ideal candidate has a PhD in Computer Science, Electrical Engineering , or a related field, with a strong
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with a leading external pharma company party, are seeking a
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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of active learning pedagogy that strengthens ‘systems-thinking’ throughout the cross-college Environment & Sustainability (E&S) major. This is a full-time position, based at the Ithaca campus. We expect
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and gravitational / black hole physicists, particle physicists (primarily in collider and neutrino domains) and statisticians at Georgia Tech, Berkeley National Lab, CERN and across the world
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machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes thus
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involves mouse behavioral models and a variety of high-tech tools used to interrogate neural circuits. Tools used include chemogenetics, optogenetics, fiber photometry, in vivo electrophysiology, and
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Environmental Engineering at Virginia Tech. While the primary focus is to conduct and disseminate high-impact research on human-water systems, the position is designed to accelerate your professional growth
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks