14 computational-physics-phd Postdoctoral positions at Technical University of Denmark in Denmark
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that you will obtain the PhD degree no later than 4 months after starting the Post Doc. You must have experience with quali-quantitative methods, tuning of LLM and computational data analysis and
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-efficient magnetic heating/cooling device. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol
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the Division for Geomagnetism and Geospace, an internationally leading research environment with strong expertise in space physics, geomagnetism, and data analysis. This position is connected with the ERC
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demonstrated expertise in experimental quantum optics and a PhD (or equivalent) in physics, quantum information science, or a related field. We expect you to check multiple of these boxes: Expertise in quantum
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qualifications You hold a PhD in physics, chemistry, chemical engineering, materials science, or a related discipline, and you have experience with catalysis in the context of sustainable energy solutions. You
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development, and computational algorithms A solid understanding of theoretical chemistry and solvation models such as COSMO The ability to work independently as well as collaboratively within a
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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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, which includes mathematics, computer science, physics, chemistry and biology, provides the foundation for new and innovative technology for the future. Technology for people DTU develops technology for
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work and deliver! Further requirements and qualifications We require demonstrated expertise in experimental quantum optics and a Ph.D. in physics, quantum information science, or a related field
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization