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Research Assistant Professor - Theoretical/Computational Chemistry Chemistry - Pennsylvania-Pittsburgh - (25001604) Job Description: • Job Title: Research Assistant Professor • Location
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theoretical and experimental knowledge, methodological and general research skills, and the opportunity to develop your personal strengths. As a member of the structured training program you will benefit from
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: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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Engineering / Rahm research group -PHD [#29855] Position Title: Position Location: Gothenburg, Vastra Gotaland 41296, Sweden [map ] Subject Areas: Physics / Computational physics Chemistry / Theoretical
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more detail, Ec=m2 encompasses projects in organic and inorganic synthesis, theoretical chemistry and physics as well as in polymers and materials. The doctoral positions offer the unique opportunity
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 16 hours ago
dynamical manipulation of quantum systems. However, the scope of the graduate school extends to various related topics in theoretical and computational chemistry and both theoretical and experimental
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-memory computing. University: Faculty of Chemical Engineering, UCT Prague; Faculty of Science, Charles University Group: Lubomír Rulíšek Group, Theoretical Bioinorganic Chemistry Tutor: Doc. Mgr. Michal
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11 Feb 2025 Job Information Organisation/Company Institute of Inorganic Chemistry, SAS Department Department of Theoretical Chemistry Research Field Chemistry » Computational chemistry Physics
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student for a project at the intersection of mathematics and deep learning to work on theoretical aspects of geometric deep learning. The question whether more data and compute are sufficient to improve