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Description Job description High-tech greenhouses play a crucial role in ensuring sustainable, affordable, and reliable local food production. The construction and operation of high-tech greenhouses is
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trustworthy operation of navigation systems in complex, GNSS-denied scenarios. The ultimate goal is to provide the navigation research community and industry with tools and methods that ensure continuous, high
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circuits are crucial for the functioning of electronic devices, providing access and storage of information (e.g. business transactions, medical diagnostics, entertainment) on which our data-driven society
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physics, computational astronomy and an unprecedented amount of data driven by observation. You will learn to run simulations on high-performance computing clusters, ranging from broad parameter studies
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parameters that have been learned from data. For instance, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which characteristics make a
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industry actors with practical tools. The team you will be working with: Dr. Maxime Cordy (supervisor) The position holder will be required to perform the following tasks/will do research on the following
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) of 1.5 years, after which your performance will be evaluated. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract). You will receive a starting salary of €3,059
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the scientific supervision of Professors Doctors Isabel Moreira Macedo and Zara Pinto Coelho, which may also involve travelling to other locations necessary for the performance of the work (e.g., event venues
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15.08.2025, Wissenschaftliches Personal For the Unit for Data Science in Management of the TUM School of Management at the Heilbronn Data Science Center at the TUM Campus Heilbronn, we are looking
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enables the Faculty to assess performance against the highest international standards. It also creates an exciting environment of continuous improvement. FEB's programmes, academic staff and research do