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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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(https://www.linxs.se/) located between MAX IV & ESS and there is good access to a wide range of highly interdisciplinary science in life sciences, soft matter, and hard matter. Work duties and
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potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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-assembly, and soft condensed matter. The successful candidates will develop computer simulation approaches to understand compartmentalization inside cells (i.e., formation of biomolecular condensates) and to
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of intracellular spatiotemporal organization, biomolecular self-assembly, and soft condensed matter. The successful candidates will develop computer simulation approaches to understand compartmentalization inside
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil or Bio Engineering or related area is required. We
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, and measure success. Basic Qualifications: A PhD in condensed matter physics, materials science, or a closely related science discipline completed within the last 5 years A strong background in