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a preparatory program for exceptional students with a bachelor's degree in the computational / mathematical sciences only, who want to pursue a PhD in Bioinformatics, Mathematics or Computer Science
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 3 days ago
) programmes. These PhD (study) programmes focus on the research fields of: Neurosensory Science and Systems Molecular and Nanoscale Science Environmental Sciences and Biodiversity Renewable Energy Mathematics
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hydrogels: From chemical structures to applicability (SusGel)” 9 PhD positions (doctoral researchers (f/m/d)). Job description Replacing synthetic polymers with polysaccharides from renewable sources will
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Degree Doctor of natural sciences (Dr rer nat) Doctoral degree or degree awarded by University of Bonn Course location Bonn In cooperation with Bonn International Graduate School of Mathematics
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Faculty of Mathematics and Natural Sciences PhD Position (f/m/x) Humboldt Centre for Nano- and Biophotonics | Gather Lab We are one of the largest and oldest universities in Europe and one
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an active student scene and a diverse cultural life. We are looking to fill a PhD position (m/f/d) - Improving understanding of seasonal and interannual carbon and water fluxes using process-based modelling
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an active student scene and a diverse cultural life. We are looking to fill a PhD position (m/f/d) - Top-down partitioning of net ecosystem exchange (NEE) on regional scales for 3 years, starting in September
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comprise the fields of particle physics, photon science, structural biology, materials science and research with X-ray radiation sources in collaboration with mathematics and computer science. The PhD
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a Research Associate / PhD: Physics-informed deep learning for PDE-constrained optimization
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination