65 postdoc-in-thermal-network-of-the-physical-building PhD positions at Technical University of Munich
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architectures which leverage our increasing understanding of the behaviour of neural networks trained with DP to ameliorate these trade-offs in biomedical applications. - Foundations of private machine learning
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deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. We are seeking a researcher to join our team in an ERC project on DNA data storage
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collaboration, we aim to promote biodiversity-based health interventions. The research is funded by the Research Initiative for the Conservation of Biodiversity (FEdA), the Federal Ministry of Education and
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a defined research topic to deriving an improved process understanding and communicating the results. Ideally, the applicant should have some background in (soil) incubation experiments and advanced
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) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian State Ministry for Economic Affairs, Regional Development and Energy. The candidate has the opportunity to pursue a
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/CAROUSEL) and its application for developing new materials and adapting the additive manufacturing process parameters, we are looking for support as soon as possible. The Chair of Materials Engineering of
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facilities and resources, as well as a stimulating and dynamic research environment. Application Process: Interested candidates should send the following documents to gjergji.kasneci@tum.de by May 15th
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personal profile, potential tasks include but are not limited to: - Development of a recirculation system for culture medium in a perfusion bioreactor system - Implementation of process control, soft sensor
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TEA of a defined process for cultivated meat with material cycling - Optimize the process, also applying mathematic modeling, to improve yield and sustainability - Independent work on research projects
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include: Literature research Designing, implementing, and evaluating novel machine learning approaches to retrieve buildings in 3D, building settlement types, and distribution of construction sites at very