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, of a PhD in physics, mathematics, chemistry, computer science, engineering, or a closely related field. Strong foundational knowledge of, and research experience in, dissipative quantum dynamics
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neuroscience, or computational neuroscience. The postdocs would be part of a multidisciplinary neural engineering and behavioral neuroscience team to study neural mechanisms of drug self-administration and
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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and
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of Engineering, School of Science and Technology, Nottingham Trent University. The role is funded by a Wellcome Discovery Award from Wellcome Trust. The overall aim of the award is to understand how interactions
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, Computational Biology, Computer Science, Biomedical Engineering, or a related quantitative discipline Strong background in machine learning/deep learning (e.g., CNNs, transformers, vision models) Experience
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
Sign Out https://erecruit.umsystem.edu/cs/tamext/cache/PT_PORTAL_UTIL_JS_MIN_1.js Add to Favorites Please Enter a Unique Description for this Favorite *Description Related Content New Window Close
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Are At Michigan Engineering, we develop the talent and technologies that move society forward and serve our state and national interests. Through discovery and innovation, we create the foundational knowledge and
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, stakeholder engagement and research outputs. We are seeking someone with a doctoral qualification in data science, computer science, biomedical engineering, statistics or a related quantitative discipline, or
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technology creation at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI
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, this specific fellowship moves beyond technical engineering to investigate the broader social implications and ethical challenges associated with implementing cardiovascular digital twin technologies in