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)! Tübingen has a long history of academic excellence (founded in 1477; DNA was discovered here ; linked to 11 Nobel laureates) and is an innovation center in medicine and machine learning. About Eberhard
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
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Your Job: The joint project PHOENIX - Launch Space Power-to-X plays a central role to align the innovation cycles of P2X technologies with the long-term goals of the energy transition, the European
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on the main topic of the project and for designing and conducting empirical studies, including survey experiments. Additional responsibilities include: authoring scientific publications in relevant peer
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of mobile work and part-time work Family-friendly working environment Sustainable travel to work
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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hearing loss. However, current neural devices are large, complex, and invasive, and are therefore used by only a fraction of people who could benefit from them. The goal of NANeurO is to design new
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that have already been verified or from people with an equivalent status will be particularly welcomed. Your application should contain a CV, a publication list and a research plan that fits the research