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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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interdisciplinary research at the interface of forest pathology, molecular biology and plant biochemistry and offering a fully-funded PhD position in Tree defense metabolism and microbial interactions. Project
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Description The Munich School for Data Science (MUDS) is a joint initiative of Helmholtz Munich, Helmholtz Institute for RNA-based Infection Research (HIRI), and the German Aerospace Center (DLR
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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the institute and with external academic partners Your profile Essential qualifications: a MSc degree in oceanography, fluid mechanics, geosciences, physics, mechanical engineering or related disciplines
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: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
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, and 3D hydrogels. Entry requirements: Master’s degree in Biology or Material Chemistry. Funding: 4 years (3+1), TV-L 13 (up to 100%). Start: Flexible in 2026. Deadline: 15 October 2025. Contact: Project
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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Master’s degree (or equivalent) in Biology, Chemistry, or a related field. A strong interest in evolutionary biology, behavioral ecology, and chemical ecology. Excellent communication skills in English, as