53 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nature Careers in France
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programming skills will be a plus. Experience supervising students will be a plus. Skills: Curiosity, rigor, perseverance, creativity, excellent time management and sense of priority, independence, ability
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research, research data management and data quality control Demonstrable computer programming skills are essential, with good knowledge of CLI and Python/R Proven experience using REDCap for the design
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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courses in the bachelor's and master's degree programs in the Faculty of Agricultural Sciences, Nutritional Sciences and Environmental Management, which are also attended by students from other faculties
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will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
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the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of
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different sensory modalities such as vision, audition, haptics Plan and conduct empirical user studies, including experimental design, data collection, and analysis of factors such as immersion, presence
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on teaching and learning languages in pre- and primary school, with a special focus on children's German and/or French literature, in both the Bachelor of Science in Education (BScE) programme and the Bachelor
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Ambition to publish or experience in publishing at A* level conferences Strong programming and problem-solving skills Analytical mindset, hard worker, and team player Experience in a research or industrial
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical