729 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "CNRS" positions in Denmark
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, and is affiliated with the PhD Programme at the Technical Doctoral School of It and Design. The stipend is open for appointment from 1 April 2026 or soon hereafter. The duration of the position is three
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, optimization, control, probability/statistics, game theory, mechanism design, or machine learning (at least one) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving
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Python and LabView programming for developing new codes for data analysis is also needed. Finally, you must be able to communicate clearly, be out-reaching and service-minded as well as be creative
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must teach and supervise across all levels of degree programmes at DPU, notably the master’s degree programme in educational psychology, including the specialisation in educational psychological
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for contributing to the above-mentioned research fields. Teaching The selected applicant must teach and supervise across all levels of degree programmes at DPU, including the master’s degree programme in educational
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Project in developing more resilient, biodiverse
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Jobbeskrivelse The Gaia Postdoctoral Fellowship Programme, funded by the EU under the Marie Skłodowska-Curie Actions (MSCA), offers 6 additional positions across to the already 9 existing
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Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis