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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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To strengthen our team in the division "Process Simulation” in Berlin-Steglitz, starting as soon as possible, we are looking for a PhD Student(m/f/d) in the field of energy and process engineering
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passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are one of our three new PhD students. At the Maersk Mc-Kinney Moller Institute (MMMI
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Cutting-edge Research for a Changing World PhD position – Ad Print4Life DC11 Reference code: 50156132_2 – 2025/MO 3 Commencement date: March 1st, 2026 Work location: Geesthacht Application deadline
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theoretical physics. The Department of Physics is offering a PhD position for project on new graphene-related materials. The project is aimed on developing new graphene-related materials, studies of material’s
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inactivation. Designing and optimizing multi-step and systems biocatalysis workflows, including flow chemistry and cascade reactions. Developing and applying modeling tools to evaluate kinetics, enzyme stability
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We are looking for a talented and driven PhD candidate to join the group of Luuk Loeff, where you will use cutting-edge technologies to explore how bacteria defend themselves against viruses. Just
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Are you eager to advance your scientific career at the cutting-edge of quantum materials and nanotechnology? DTU Physics and DTU NanoLab offer a fully funded PhD position to develop groundbreaking
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in