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Field
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-conversion and is closely connected to the Munich Center for Quantum Science and Technology (MCQST), providing an interdisciplinary environment linking condensed-matter physics, quantum theory, and materials
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have completed a scientific university degree (Master's or Diploma) in Mathematics or Theoretical Physics. A focus in studies on Algebra, Geometry, or Number Theory is desirable. Evidence of above
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.05.2026
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together 11 leading institutions across Europe to train 16 Doctoral Candidates at the forefront of theory and experiment in ultrafast science. The programme offers a unique, interdisciplinary environment and
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg Elbe, Niedersachsen | Germany | 5 days ago
influences interact in real time, why crime propensity fluctuates across situations, and how some individuals avoid crime even in highly criminogenic environments. A recently proposed theory, Short-Term
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Theory (DFT) calculations can complement the experimental work. You will have access to unique experimental facilities and work within the Cluster of Excellence "Complexity, Topology and Dynamics in
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measurements to identify and characterize these states, with experiments performed as a function of temperature and uniaxial stress. Density Functional Theory (DFT) calculations can complement the experimental
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 hour ago
Job Code: K-26-01 Job Offer from April 16, 2026 The Department of Criminology at the Max Planck Institute for the Study of Crime, Security and Law , in Freiburg im Breisgau, Germany (Director
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://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies
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, Mechanical Engineering, Applied Mathematics, Computer Science, or a related field. Strong background in systems theory and/or control engineering. Keen interest in cyber-phyiscal systems, networked control