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                ). These collaborations enable practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital 
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                ) at Heidelberg University, the following position (75%) for up to 3 years is to be filled by 01.01.2026. PhD position in Vector-Borne Disease Modelling (f/m/d) The place of employment is Heidelberg, in the Climate 
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                ) at Heidelberg University, the following position (75%) for up to 3 years is to be filled by 01.01.2026 PhD position (f/m/d) in Vector-Borne Disease Modelling The place of employment is Heidelberg, in the Climate 
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                processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job 
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                Job posting (PHY 09/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy for a PhD candidate in High Resolution Ecosystem Modeling and application 
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                excursions. The PhD student will work on analysing the reliability of paleomagnetic records, deriving uncertainty estimates, and building time-dependent models of the paleomagnetic field evolution using a 
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                methods to tackle challenges in scientific modeling. Affiliations: Technical University of Munich (TUM) & Helmholtz Munich Niki Kilbertus invites applications for a fully funded PhD position. We’re looking 
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                , biochemists and technicians. The multidisciplinary research in our group covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiological modelling 
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                integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using 
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                Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science