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an offer. The ideal candidate should have a Ph.D. and will have research experience in chemistry, biophysics, biomedical engineering, or related fields and possess excellent computer and programming skills
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, machine learning, data visualization, digital hermeneutics; an interest in media history or history of technology would be an asset Fluency in English and good knowledge of French or German Ability to work
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, United States of America [map ] Subject Area: Physics / Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/10, listed until 2026/03/10) Position Description: Apply Position Description The William H
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for this position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods
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to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral
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and stochastic analysis, numerical analysis, and scientific machine learning. Interest in interdisciplinary efforts is also valued. Commitment to and experience in teaching and mentoring student
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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topics: Free space optical communication Visible light communication DSP for coherent optical communication Machine learning and AI-native physical layer design Optical reconfigurable intelligent surfaces
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for the University experience. The list of centers and research schools is found at https://www.nyu.edu/research/institutesandresearchatschools.html Join the NYU Meyers Research Team as a Post-Doctoral Associate and
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handling and willing to learn new techniques and employ them with superior skill and knowledge is important. A solid understanding of nutrition-related metabolism is necessary to be successful in