303 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" positions in Denmark
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researcher will have teaching responsibilities in the newly established BA program in psychology. Your qualifications A PhD in psychology or a related field. Knowledge of community psychological research with
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of the Classical Archaeology programme: https://bachelor.au.dk/klasark/ . A keen interest in teaching Greek and Roman antiquity in collaboration with colleagues in philology. The ability to co-teach courses with and
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Submitted applications will be
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of their background (link ) - and MEGAFiT, which aims to design, test, and evaluate a research-based teaching program in fitness and strength training for students in grades 7–9 (link ) - and Idrætsskoleprojektet
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, programming, or software/database development Excellent programming skills, preferably in Python Good communication skills and ability to work in teams Excellent English skills written and spoken Desirable
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, visit: www.algoritmer.org . The candidate will conduct teaching as part of the ph.d. programme. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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, handling, and synthesising big data geospatial data sets from various data sources. Cutting-edge expertise in advanced statistical analyses of large data sets and strong knowledge of programming languages
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Feb 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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our niche scientific resources. For more information about the department please see https://www.sdu.dk/en/om-sdu/institutter-centre/igt-green-technology University of Southern Denmark (SDU). As one
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. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab