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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, machine learning, neural networks & deep learning, multivariate statistics, scientific visualization and nonlinear dynamics are applied in the ongoing investigations. The Principal Investigator and her
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. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim of developing novel strategies to improve CAR T
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Research Project: Implementation of Machine Learning techniques to optimize laser-plasma accelerators experimentally and numerically for industrial and medical applications. Since the first
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| Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2026 Reference no.: 2493 Explore and teach at the University of Vienna, where over 7,500 academic
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access to PLI's $9.6M GPU cluster (300 H100s), among the largest machine learning computer cluster in academia. In addition, PLI seed grants enable advances in AI-related research in the humanities, social
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to, faculty, students, and postdoctoral associates’ research, experiential learning, and professional advancement. Provides curriculum development, evaluation, administration, and coordination for the Platforms
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structures like nanosheet transistors that are relevant for semiconductor manufacturing and uses tomographic techniques in combination with inverse design and machine learning tools. The aim is to determine
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. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational
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Description Scientific supervision and collaborations The main supervisor will be Dr. Pierre Gernez: https://www.univ-nantes.fr/pierre-gernez The postdoc candidate will join and interact with a team of young
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dynamics, data to information systems, our research encompasses field work, laboratory experimentation and computer modeling to acquire, integrate, synthesize and understand diverse data sets to elucidate