17 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" PhD positions at Nature Careers in Belgium
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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resilience to different forms of cyberattacks. The project will develop and scientifically test cyber range and cyber war exercises for teams, develop metrics to objectively quantify cybersecurity preparedness
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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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Company description Embedded in the Leuven Chem&Tech and Leuven Nanocenter facilities, the Ameloot group (http://amelootgroup.org/) studies different flavors of materials and applications and has
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of different energy sources using tailored statistical metrics and indices Publish results in peer-reviewed journals, present findings at international conferences, and collaborate with project partners
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on our shared expertise and gaining multiple new skills including not only scientific but also personal and career-development skills via our comprehensive training program. Other postitions are available
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partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program. This PhD project aims to develop an analysis tool for the optical ground-to-satellite links
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to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost