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data integration, cancer systems biology, and single-cell analysis, with strong links to clinical and translational oncology. Our work is based in the dynamic research environment of Heidelberg
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2026. The UNFoLD lab specialises in the experimental measurements, analysis, and modelling of unsteady vortex-dominated flow phenomena, with applications in bio-inspired propulsion, wind turbine rotor
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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in peer-reviewed high-impact factor journals and present at international conferences. Your profile MSc in Materials Science, Polymer Chemistry, Chemical Engineering or related disciplines
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functionality. Publish in peer-reviewed high-impact factor journals and present at international conferences. Your profile MSc in Materials Science, Polymer Chemistry, Chemical Engineering or related disciplines
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. Publish in peer-reviewed high-impact factor journals and present at international conferences. Your profile MSc in Materials Science, Polymer Chemistry, Chemical Engineering or related disciplines
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, and scenario analysis techniques to provide support for strategic decision-making and inform policy. The candidate will identify the existing data gaps in quantifying flood risk and explore best
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analysis (R, Python) is an asset. Curiosity, creativity, rigor, willingness to learn, team spirit and collaborative capacity, excellent time and priority management. Fluency in English (written and spoken
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, active ingredients and efficiency of 4Ds relative to existing interventions. Objectives The PhD research would encompass all elements of 4Ds and involve the following: A systematic review of the efficacy
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-based spatio-temporal interpolation methods • Geophysical interpretation and analysis of the results and impact assessment of past and projected future changes along the coast • Literature research