61 postdoc-density-functional-theory-dft PhD positions at Technical University of Denmark in Denmark
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PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed to circularity and sustainability in the footwear industry. Through advanced
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Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems for testing them? Then join the Precision Medicine Technologies
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) at the Technical University of Denmark (DTU) invites applications for a fully funded 3-year PhD position focused on enhancing inter-subject BCI-assisted performance for exoskeleton control in stroke rehabilitation
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the
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position to work at the intersection of transportation science, operations research, and transport economics. The PhD position is part of a strategic collaboration between the Technical University of Denmark
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working language of the project) The ability to work independently while also thriving in an interdisciplinary and international research environment In addition, the following qualifications would be
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the supervision of Prof. Massimo De Vittorio. You will be a part of the IDUN Center of Excellence, led by Prof. Anja Boisen at DTU Department of Health Technology (DTU Health Tech). IDUN is a highly cross
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at the forefront of designing catalysts and using advanced operando tools, such as Raman spectroscopy, to uncover how these reactions happen at the atomic and molecular level. Your work will help pave the way
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, or (field) experiments), as well as familiarity with the literature on digital transformation and business models, will be assessed positively. In addition, you should be able to work efficiently as part of a
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protein design offer new opportunities to revisit the long-standing challenge of selectively targeting MMPs. The project will use state-of-the-art AI-based protein design tools to generate and prioritize