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Solid State Physics. Your tasks: The research aims to develop new theoretical frameworks to explore dynamical phenomena in magnetic quantum materials driven out of equilibrium. The key mechanisms
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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific
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that are appealing for many applications in electronics, optoelectronics, quantum technology, photonics, energy are in high demand for future device technologies. Functional materials containing main group metals
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magnetic states can be obtained by suppressing conventional magnetic order by introduction of quantum fluctuations, frustration, or competing interactions. The aim of the doctoral research is an experimental
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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. Alexander Ecker (Institute of Computer Sciences, University of Göttingen). Candidate profile We are looking for a highly motivated candidate with: A strong background in animal behavior, behavioral ecology
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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research program. What will be your tasks? This position will be part of the international SkaMix Consortium with partners from Norway, Sweden, Denmark, The Netherlands and Germany with the aim to identify