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Field
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temporal dynamics. The candidate will adapt and develop biophysical models to explore the impact of temporal exposure variability on radiobiological endpoints, with results validated against experimental
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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will
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genuine enthusiasm for biology, especially neurobiology. We are looking for dedicated individuals with a completed academic degree, ideally in the life or natural sciences. Experience with Drosophila
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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in patch-clamp techniques, molecular biology and biochemistry. Practical experience in working with cell cultures is desirable. A basic willingness to work experimentally with laboratory animals
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, computer science, or a related field with an overall grade of at least “gut” (or equivalent, e.g., cum laude) Expertise in quantum mechanics, experience with HPC, programming (e.g., Python, C / C++), and/or
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target structures, with the goal of improving molecular classification, diagnosis, and individualized treatment strategies. Independent planning and execution of experiments, including thorough
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Python Independent and analytical way of working Reliable and thorough working style Fluent written and spoken English; German language skills are advantageous Please feel free to apply for the position
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and