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Research Foundation (DFG) is funding the project. In the course of the application procedure, which takes place both at the GRK 2767 of the TU Dresden and at the HZDR, the documents received by the HZDR will
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 4 hours ago
Regional Development (IOER) and Dresden University of Technology (TUD). DLGS offers an interdisciplinary, three-year doctoral programme . Fellows are admitted in a competitive process with independently
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funded by the German federal government and 10 percent by the state of Berlin. Job Description Our laboratory investigate how the nervous system processes sensory information to orchestrate motor behaviour
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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of essential documents. After the selection process, we will dispose of your documents as required by data protection laws. References [1] K. Endo,* S. Canossa, F. Heck, D. M. Proserpio, M. S. Istek, F. Stemmler
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parametrize wind-wave energy flux mechanisms. The overall goal of the research project is to develop process understanding and parametrizations that lead to improved, energetically consistent, climate models
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
such qualified individuals. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. Application procedure Applications will be reviewed on a rolling basis
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literacy and basic programming skills (R, Python), or the willingness to develop these skills Analytical mindset, with a keen interest in advancing proteomic methodologies We offer Cutting-edge proteomic
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machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg