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Field
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* Integration in interdisciplinary and multi-institutional networks * Excellent scientific infrastructure and mentoring We are looking for: * Curious mind-set with a strong interest in the physics and engineering
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The increasing digitalization of modern energy systems, together with the large-scale integration of renewable energy sources and distributed energy resources, is generating unprecedented volumes of heterogeneous operational data. However, limited availability, privacy constraints, and the...
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biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput datasets
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Description/content The Graduate School Life Science Engineering provides an exceptional interdisciplinary educational programme for highly qualified international scientists and students. Our programme is
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. • Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field • Very strong undergraduate and graduate record
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and (2) develop learning rules that are both technology-feasible and well-suited for machine-learning workloads. The project will consist among others of the following tasks: Investigate and design
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 2 hours ago
the SIMPLAIX consortium between the University of Heidelberg, Karlsruhe Institute of Technology, and the Heidelberg Institute for Theoretical Studies. The research will focus on generative models
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering
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no deadline listed. Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning