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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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electronics, optoelectronics, quantum technology, photonics, energy are in high demand for future device technologies. Functional materials containing main group metals, transition metals and rare earths
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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