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Field
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, and computational tools. We are looking for a highly motivated individual with a strong background in cellular/systems neuroscience, but also welcome applicants with strong quantitative skills from
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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Apply now Job no:527504 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Computer Science Union: Post Doc Categories:Postdoctoral Research Associate, Research, Manning College
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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platforms, as well as extensive networking opportunities within the University of Miami’s robust AI and digital health ecosystem. Program Objectives: Provide fundamental training by interdisciplinary faculty
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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to state-of-the-art computing resources and research equipment Opportunities for professional development and networking Collaborative and innovative research environment If you have any questions, please
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Participate in internal and external networks for wide-reaching broader impact Teaching, Learning, and Mentoring Supervise and provide day-to-day support, mentoring, and assistance to junior members of your
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research projects aimed at (1) understanding the molecular mechanisms by which trabecular meshwork protein modifications induce fibrosis by transforming epithelial cells to myofibroblast-like cells (2