89 high-performance-computing-postdoc-"Multiple" PhD positions at Technical University of Denmark in Denmark
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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in Physics, Geophysics, Materials Science, Computation, Engineering
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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materials to address the global energy problem. To benchmark a new material experimentally, we must be able to detect reaction products with high sensitivity and good time-resolution. In close collaboration
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research environment. Project background Future European power systems are expected to be driven by a very high share of renewable power plants and will be extremely complex, uncertain environments with
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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characterization of glycoside hydrolases, and a postdoc working on computational modelling of the same enzymes. The PhD focuses on ligand-observed NMR analyses and other relevant methods to provide insight
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with focus on hazard assessment of the new developed materials, and chemicals used in their production Perform prospective Life Cycle Assessment (pLCA) to evaluate environmental impacts across the value
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Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria