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Learning (SciML) applied to physical or engineered systems, including deep neural network surrogate modeling, physics-informed neural networks (PINNs), reinforcement learning (RL), transfer learning, dynamic
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electron and ion dynamics subsequent to photoabsorption in atomic and molecular systems. Candidates with a background in experimental physics with an emphasis on strong field or attosecond physics and
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environment. The candidate will have the opportunity to conduct experiments at a multiuser facility, perform data analysis, and conduct molecular dynamic simulation of magnetized dusty plasma. Responsibilities
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a positive impact on the world, society and the lives of others. Are you interested in joining SBE? You will work in a stimulating, dynamic and international environment with motivated colleagues
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dynamics with in vivo downstream signaling response. • Engineer and isolate high-quality, homogeneous samples of GPCRs and signaling partners for ensemble and single-molecule analytical assays. • Expand your
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ICFO is offering up to two postdoctoral positions to a well-qualified, highly motivated and dynamic young scientists who wish to enhance their scientific career in a friendly and stimulating
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, scientific computation, scientific software and algorithm development, and data analysis; demonstrated ability to conduct original, high-quality research in computational fluid dynamics and/or computational
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with Prof. Mauro Maggioni on problems that include: analysis and algorithms on graphs, geometric analysis of high dimensional data sets, dynamic data sets, scientific machine learning, high-dimensional
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available at CC, with a primary focus on Artificial Intelligence within the field of Agriculture/ Remote sensing (not limited). The successful candidate will join a dynamic, multidisciplinary team and have