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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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organoids, single cell multiomics, live cell imaging, and animal models. Tasks: to actively pursue the PhD project with the aim of characterizing the molecular and functional mechanisms of epithelial
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after damage. The applied techniques will include e.g. mouse and human kidney organoids, single cell analyses, proteomics, metabolomics, live cell imaging, and animal models. Tasks: to actively pursue
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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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. He/she/they will learn and apply state-of-the-art molecular and cell biology technologies established in our team, ranging from in vivo disease models to multi-omics and single cell analysis
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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on this work by using molecular methods to unravel the forces that modulate mutagenesis across the genome of mutagen-exposed cancer cells. You’ll be introduced to advanced statistical and computational methods
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The position is funded for 3 years (65% TV-L E13), starting on January 1st, 2026, within the framework of the TTU HIV program of the German Center for Infection Research (DZIF). Project Description: Although
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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of paleoclimate modelling, starting as soon as possible. The position is funded for 36 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13. This is a