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for candidates with a strong computer science background, such as algorithms, machine learning and data science. Key Responsibilities Develop, implement, and evaluate machine learning and deep learning models
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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physicist in the area of plasma physics and numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group
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and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both
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processing, as well as proven experience in Mueller polarimetry and optical system characterization. 2) Proficiency in numerical modeling approaches, combined with solid programming skills (Python, Matlab
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planetary geodynamics and habitability. Experience using piston cylinder and DAC presses, high-temperature and high-pressure experiments, numerical modeling, Zr isotopes, atomic-scale and micro-scale analyses
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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, Physics Beyond the Standard Model , Physics of cold atoms , QCD , Quantum Condensed Matter Theory , Quantum Field Theory , Quantum Gravity , Quantum Information Theory , Quantum information/quantum matter
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes The development of the computational kernel of the NEMESIS software library