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methods on identical locations, to investigate their structural, morphological and functional properties. Able to work independently, in a team and collaborate with other researchers and mentor junior
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well as modern genetic engineering methods and microscopy. Requirements: a very good MSc or equivalent degree in Biology, Biochemistry/Biophysics is required for employment experience in cell or molecular biology
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functional aspects of the olfactory system in amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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functional aspects of the olfactory system in amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system
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consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods into the open data AgiMo Digital Twin, (4
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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%). This position is to start at the earliest opportunity. The project will involved the development of new photochemical methods for the synthesis of bridged bicyclic compounds. You should have a Master degree in
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consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods into the open data AgiMo Digital Twin, (4
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. Methods to be used Fieldwork: participate in one survey to understand the ecosystem and measurement techniques. C++ coding with DuMux source code and its shallow-water module (link Darcy/Richards models