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learning algorithms, develop PBF-LB Mg alloy with defined microstructure, improved mechanical and corrosion properties. Research stays are planned at: Uppsala Universitet, Sweden, and Quintus Technologies
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly motivated both independently and in a team • Very good written and spoken English skills • Some knowledge or
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technologies with the long-term goals of the energy transition, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Research, Technology and Space, the project
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Your Job: The PHOENIX - Launch Space Power-to-X joint project plays a central role in aligning the innovation cycles of P2X technologies with the long-term goals of the energy transition
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-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and machine learning approaches. These are similar to earlier work
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, infrastructure, energy, and medicine. As we face the challenge of making metallurgy more sustainable, there is an urgent need for innovative solutions to reduce carbon emissions during synthesis, enhance
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, Spain and Belgium. This programme will allow the candidate to step outside academia and enhance networking and communication whilst acquire and deepening scientific knowledge. The offered positions
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the most thought after quantum information technology, quantum-enhanced microscopes and telescopes, and AI-driven discovery of new physics experiments to test quantum-gravity and observe gravitational