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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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, transcriptomic and proteomic data. This role provides ample opportunities for professional growth within an innovative research environment committed to scientific excellence and collaboration. Job-ID: V000014783
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/statistics (experimental design, evaluation, uncertainty quantification) Excellent programming skills in Python (C/C++ is a plus); experience with HPC environments (e.g., SLURM) is welcome Interest in
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, Environmental Sciences, Biology or related subjects, and have experience in interdisciplinary working between Geosciences and Biology. Experience in writing advanced publications going beyond presentation
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approaches for the analysis of omics, digital, and molecular pathology data, to support precision medicine. We work with real-world data in a highly interdisciplinary environment fostering translational
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innovation sectors are the future of health, the future of work, the future of environment, and the future of mobility. More than 70 professors from various TUM faculties cooperate within the framework
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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the protective and harmful effects of the environment, genes, and lifestyle on human health and disease using population-based epidemiology approaches. Knowledge of these interactions leads to novel targeted
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Earth and Environment, aligning cutting-edge research with societal relevance and international collaboration. Our work integrates multidisciplinary studies across Earth's system components, leveraging
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, vibrant, and collaborative research environment. In a multidisciplinary effort, the Sander lab combines single-cell genomics, human stem cell models, and bioengineering approaches to investigate