288 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" positions in Denmark
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At the Technical Faculty of IT and Design, Departmentof Computer Science, one PhD stipend intheories for programming semantics, methods for verification and reliability assurance of combined
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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strong background in computational condensed matter physics. Experience with first-principles electronic structure methods and scientific programming is expected. The ideal candidate is highly motivated
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Programming competencies in MATLAB or Python Experience in using practical coastal engineering models such as MIKE, Delft3D, XBeach and SWASH As a formal qualification, you must hold a PhD degree (or equivalent
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Quantum information processing, quantum optics, or related fields Experience with python programming Excellent communication skills in English Experience in working with FPGA is preferred. We offer a
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laboratories, programming/modeling, or machine learning will be considered an advantage. Due to the strong cross-disciplinary nature of the work, the candidate is expected to have excellent collaboration skills
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projects. In addition to research, the candidate(s) will contribute to teaching activities within the MSc CREATE programme and the BSc in Civil and Architectural Engineering, with an emphasis on research
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repositories Produce high-level scientific publications and present findings at international conferences. Carry out teaching activities as part of the PhD program. Your competencies The ideal candidate
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At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python