12 computational-physics-phd Postdoctoral research jobs at Chalmers University of Technology in Sweden
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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, you must hold a PhD (awarded no more than three years prior to the application deadline*) in computer science, maritime transportation, or a related field, with a strong foundation in mathematics and
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-related activities at the department (20%), including supervision of MSc and PhD students Possibilities for international collaboration and research exchanges Access to pedagogical training and development
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, two researchers, and about ten PhD students. Our research focuses on aircraft propulsion and covers: System-level assessments Engine concept development Component design and optimization (e.g
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(Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or equivalent), obtained no more than three years prior to the application deadline (according to the current agreement with
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and professors. Qualifications To qualify for this position you must have: - a PhD degree (or equivalent) in Applied Physics, Engineering Physics, Electrical Engineering or similar, awarded no more than
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Department of Chemistry and Chemical Engineering , contributing to a highly interdisciplinary research setting. We seek candidates with the following qualifications: PhD in materials science, physics, polymer
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and apply cutting edge experimental and computational technologies. Our researchers are discovering how biomolecules, living cells and the whole organisms’ function and respond to the environment. Based
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning