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local structure and composition to catalytic behavior. By bridging atomistic theory and machine learning, the work will help explain activity trends and guide the rational design of alloy catalysts
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, you should have: A Master of Science degree in Mechanical Engineering, Mathematics, Physics, or in relevant fields of fluid/structure dynamics and acoustics. Very good knowledge of English, both spoken
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a genuine interest in research and collaboration. Mandatory: To succeed in this role, you should have: A Master of Science degree in Mechanical Engineering, Mathematics, Physics, or in relevant fields
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– entrepreneurship as design, scientific entrepreneurship, theory-based view, iterative venture development, experimentation, iterative prototyping, effectuation, co-creation, balancing exploration and exploitation
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how...
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15 full-time researchers offers a stimulating and supportive environment to learn and grow. Your profile Required qualifications: Undergraduate degree in Engineering, Physics or Mathematics with strong
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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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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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The candidate will be located at the division of Physical Resource Theory , Chalmers University of Technology, Gothenburg, Sweden. We conduct systems-level research to address major environmental challenges using