183 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "CERIC ERIC" PhD positions in Denmark
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criteria: Knowledge in plasma physics, tomography and inverse problems, or computational physics, or preferably several of these fields Knowledge of programming Communication skills You must have a two-year
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at a competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics
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contexts and to the broader public (Danish is an advantage but not required) Present research results at international conferences Possibly contribute to teaching programs (in consultation with relevant
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plan (maximum 2 pages). We expect to conduct interviews for stipend 1 in following dates: 23rd of January 2026 till 5th of February 2026. Qualification requirements PhD stipends are allocated
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governed by elastic instabilities. This project aims to elucidate this connection through carefully designed experiments on programmed microstructures, synthesized by additive manufacturing, and the
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Your application will be assessed by Dr. Apurv Dash, Prof. Poul Ægidius Norby and Prof. Wolff-Ragnar
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and mitigation within the general study programme wireless communication; as per April 1, 2026, or as soon as possible thereafter. The duration of the positions is three years. In electronic engineering
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the doctoral program Biotechnology, Chemistry and Environmental Engineering. The
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competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics: Data Mining