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Institute for Intelligent Systems and selected faculty from external partners. For how to get involved with CLS, see Participation .
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them or augment their behavior in a controlled way. Specifically, your tasks will be: Running numerical simulations of active systems Using physics-informed machine learning techniques to characterize
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will use polarized inelastic neutron scattering to explore a non-collinear antiferromagnet, aiming to provide definitive evidence of altermagnetism beyond the collinear limit. The work will uncover
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motivation Experience with optical laser setups Good English skills What we offer Exciting tasks in a dedicated, international team of scientists Unique opportunity to work at research forefront
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motivation for scientific research and enthusiasm for interdisciplinary teamwork Interest in innate immunity, cardiovascular disease, and / or systems biology Critical thinking skills and the ability to work
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
, or process engineering, physics, chemistry, or related disciplines with grades above average, have a strong interest in theoretical and numerical work, have strong communication skills and motivation
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
chromatographic purification. Crystallization and precipitation are alternative purification techniques that operate at substantially lower costs, but their process design and optimization is challenging due
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You will work at the interface between electrochemistry, robotics and data-driven research. The aim is to utilise and further develop an automated laboratory environment for scientific purposes in
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
networking at the highest level Access to international research networks Doctoral salary with the usual social benefits 30 days of vacation per year Flexible working hours Possibility of mobile work and part
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. The place of work will be in Ingolstadt. The salary is prescribed by the framework of the collective agreement (TV-L), Level 13 (75%). The research group Reliable Machine Learning (headed by Prof. Felix