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. To investigate the Space Launch Impact on Climate and Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
Diseases 102846 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We
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the European Union with the objective to research and develop collaborative AI systems that partner with engineers for next generation industrial engineering design. In the network, 14 Doctoral Candidates will carry
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of the partnerships and to the development of new cross-disciplinary connections between the PIs, doctoral candidates and postdocs from KIT and Heidelberg University. Application Find open positions here: Open
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offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated workflows for descriptor based microstructure reconstruction to identify
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and opportunities for scholarships and external funding. It also offers a qualification programme to develop transferable skills. Recognising the difficulties that a highly mobile life can bring to
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative
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LMU Munich. The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/ ). The professorship of Systems Neuroimmunology is part of the Cluster
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communities and allowing for an interconnected approach to state-of-the-art computer science research. This research school builds on a 20-year history and developed out of the "Service-Oriented Systems
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building