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since the Last Glacial Maximum but also for the Pliocene) to simulate the effects of climate change on vegetation and ecosystem processes with the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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English skills High level of motivation for independent and team-oriented research work Proficient computer skills, particularly in MS Office (Excel, Word) Flexibility, commitment, team spirit, and a strong
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of research range from strongly correlated Fermions and Bosons in and out of equilibrium, gauge theories, spintronics, frustrated systems and topological/fractionalized phases of matter, via computational many
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methods, enabling precise midIR spectral measurements from blood rich skin layers. Your work will bridge measurement physics and biomarker estimation: you will transform raw optoacoustic signals into robust
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of the LPJ-GUESS Dynamic Global Vegetation Model. Geologists in the team will advance the state-of-the-art in reconstructing Oligocene to Miocene C3 /C4 transitions, which will be used to test the new
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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Matter and Quantum Information Theory The areas of research range from strongly correlated Fermions and Bosons in and out of equilibrium, gauge theories, spintronics, frustrated systems and topological
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clinical, engineering, and modelling innovation (BreathForDx & B-Path; European Research Counsil [ERC]). You conceive and design modelling and health economic analyses to generate estimates of health impact
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the legitimacy of algorithmic governance in the context of migration policy. The project team collects quantitative and qualitative data to study how people use heuristics to judge legitimacy of algorithmic