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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Post-Doctoral Associate to work on a fascinating project focused on the geomechanical modeling for energy
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Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a
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related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
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, you will work with advanced 3D in vitro models of fibrosis and metabolic disease, using multiple primary and immortalized human cell lines. Your research will focus on identifying molecular mechanisms
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-driven modeling (including ML/AI where appropriate) to help anticipate vulnerabilities and inform decision-making for energy deployment and national competitiveness. In this role you will : Conduct and
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of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing approaches for scientific applications
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started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working environment. OUR MISSION: Support Energy transition by
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA), expertise in computational modeling (such as
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Argonne National Laboratory, HEP High Energy Physics Division Position ID: Argonne National Laboratory-HEP High Energy Physics Division-POSTDOCTORALAPPOINTEEAIMLANDATLAS [#31214, 421194] Position
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Gammapy is an open Python library for astrophysical very-high-energy (VHE) gamma-ray data analysis. Amongst