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, and innovative research groups that comprise everything from basic science to strategic and applied research. The activities encompass research and education within materials, mechanics, physics
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research ethics, and commitment to research quality. Who we are The Computational Physics and Machine Learning Lab led by prof. Lucantonio is a newly established group within the Mechanics and Materials
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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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and working with Master and Ph.D. students at ECE and collaborators as needed. Your profile Applicants should hold a PhD in Electrical Engineering, Electronics Engineering, Materials Science, Physics
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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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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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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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this project will feed into a central model (developed in a parallel CEBE work package) linking the parameters of constitutive material model to physical and chemical properties across scales supported by AI
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Job Description If you wish to develop your research within Science & Technology Studies (STS) and Computational Anthropology, you may consider applying for this Post Doc position (36 months). We
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and practical experience with case study research on local policy customization Fluency in the Danish language since much of the research will be based on process studies of Danish municipalities Who we