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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress of helicopter components using a data-based as well as a physics-based approach. In...
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, empwering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable. Apply now via our career portal until 19.11.2025
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters
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, CTR) Design and implement physics-informed deep neural network architectures which accelerate finding electron bunch shapes self-consistently for large measurement campaigns Implementation and
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models to collaborate, adapt, and forget outdated knowledge intelligently, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
processing and will involve EEG and MRI experiments as well as realistic modeling of biological neural networks. It is a cooperation between the TU Berlin, the TU Chemnitz, the Czech Academy of Sciences, and
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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learning techniques (e. g. random forest (RF), artificial neural network (ANN)) will be applied using the parameters of strongest influence on the target properties. Moreover, the obtained data will be fed
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
physiological insect navigation data. Modeling navigation neural circuits. Close collaboration with robotics teams. Collaborating with other researchers on interdisciplinary research projects and publications