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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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doctoral studies / focus on solid state physics or chemical physics Professional skills: Development of ab initio methods Methodological skills: Python, Fortran, C, C++ High performance computing Good
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experience in the fields of computational mechanics and computational geomechanics. Preferred Qualifications: Experience in the following areas is preferred: Experience in modeling geomechanical systems
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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to dissect the molecular and cellular mechanisms underlying human pathologies in fields ranging from cardiovascular medicine to neuroscience, from immunology to cancer and microbiology, with the final goal
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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application! Work assignments As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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Scientific Computing and Model Analysis, Institute for Theoretical Sciences, Westlake University Appl Deadline: none (posted 2024/11/25) Position Description: Apply Position Description Group Introduction
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draw on concepts of fluid dynamics, rheology, solid mechanics, statistical physics, nonlinear systems and related fields. Further details about Prof. Fielding's research group can be found at http