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, 2025 or as soon as possible thereafter. Applications for PhD students, please see here: https://phd.nat.au.dk/for-applicants/apply-here Place of work The place of work is Department of Computer Science
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Job Description If you are an experimental physicist or optical engineer with a passion for nonlinear optics, quantum optics, and advanced fiber technologies, this is your chance to work at the
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
, this might be a position for you. If you moreover like to work with applied research in close contact with the power-to-X industry, you have come to the right place. Responsibilities and qualifications You
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functional inequalities Rough paths, stochastic differential equations and stochastic PDEs Sub-Riemannian geometry The positions are full-time, fixed-term appointments, with an earliest start date on February
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idea within the value chain of functional coatings from raw materials to end-product. Coating formulation and production principles Optimising the production line by i.e. turning towards in-line
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. Excellent communication skills in English and the ability to work collaboratively. The ability to direct and take ownership of research projects. Desirable Experience with the zebrafish model Experience with
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sustainable society. You can read more about the department at www.build.aau.dk. Your work tasks You will join the Horizon Europe project ENTRANCE, which aims to enable smart-grid-ready and decarbonized
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, software engineering, and artificial intelligence, starting November 1, 2025 or as soon as possible thereafter. The position is part of the REINS project, which develops innovative methods and tools
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functional inequalities Rough paths, stochastic differential equations and stochastic PDEs The positions are full-time, fixed-term appointments, with an earliest start date on February 1st 2026. Attractive
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FGFR isoforms. Recent advances in AI-driven protein design offer new opportunities to revisit the long-standing challenge of selectively targeting FGFRs. The project will use state-of-the-art AI-based