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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, palaeoclimatology, micropalaeontology and
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
the dynamics of living systems from a physical perspective. The department is headed by Ramin Golestanian and hosts a number of group leaders, postdoctoral researchers, students, and visitors. The research
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link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models
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University of Potsdam. Teaching language English German Languages English is the main language of instruction in the PhD and postdoctoral programme. Programme duration 8 semesters Beginning Winter and summer
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with
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and structural thinking Interest in analyzing water-energy interactions Enjoyment of modeling Fluent in written and spoken English, knowledge of German an advantage Our Offer: We work on the very latest
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Max Planck Institute for Heart and Lung Research • | Bad Nauheim, Hessen | Germany | about 2 hours ago
Frankfurt. Doctoral fellows will participate in a three-year professional structured programme, including specialised seminars, methods courses and engaging retreats. We provide exclusive access
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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, chalcogenides, and semiconductor compounds, aiming to understand and control their growth. Analyze the deposited films and structures using scanning probe techniques and other complementary characterization