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to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a
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will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM Research Department Energy
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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analysis and visualization Numerical modeling and programming for model optimization & machine-learning What you bring to the table You are studying Simulation Sciences, Mechanical Engineering, Computational
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-efficiency solar cells, such as heterojunction, shingle, or tandem solar cells, using conductive adhesives. We collaborate with numerous industry partners to realize novel module technologies with conductive
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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knowledge in the areas of solid state physics, Magnetism and nanoscale phenomena Hands-on experience in one or more of the following methods is an advantage: Thin-films preparation, magneto-optical
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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analysis of experimental data using appropriate computational tools. Ideally, the successful applicant will strike a balance between development and application of methods for spatial high-resolution imaging