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Field
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of neural circuitry across rodent species to bridge this knowledge-gap. Position Requirements Candidates must hold a PhD degree (or equivalent) in neuroscience, biomedical engineering or a related field. The
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
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York Times has called “the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative
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criteria A PhD in Computer Science or Software Engineering or Computational Statistics, or a related field; or a Master’s qualification in a relevant field and/or equivalent demonstrated experience
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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/Watabe-Uchida laboratory at Harvard University to study the neural mechanism of decision-making. We seek an individual from a various background with an interest in animal behavior, computation in
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Postdoctoral Research Fellow available in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as possible and upon individual
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Computer Science and related topics. The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees