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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
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.) · Reporting to the Group Leader Is Your profile described below? Are you our future colleague? Apply now! Educational Background · PhD degree in Physics, Chemistry, Materials Sciences, or a related field
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Educational Requirements PhD degree in a relevant field (chemistry, physics, materials science, etc.) Required Experience Expertise in ionic liquids, polymer recycling and solubilization broadly defined. Author
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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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PhD degree in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and