744 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Germany
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information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is November 17, 2025. Please apply via our applicant
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(https://hessian.ai/). Your tasks The scientific focus of the professorship for “Ethical and Safe AI” will be on developing methods and algorithmic foundations for AI systems whose behavior is consistent
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they are under-represented and we explicitly ask women to apply. Applications should be submitted incl. names of possible referees online by October 15, 2025 at https://application.mpim-bonn.mpg.de/w2 We are not
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hours primarily in the research-oriented Master's programme “Integrated Plant and Animal Breeding”. The willingness and ability to teach courses of further qualification levels and also in German
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Atmosphere Monitoring Services of the Copernicus Programme, as well as being a contributor to the Copernicus Emergency Management Service. Other areas of work include High Performance Computing and the
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course program. Please visit our webpage https://www.cui-advanced.uni-hamburg.de/en/career/job-openings.html for more information on our available positions and the application process. Selection process
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, data science, or related field with a strong quantitative background Interest in interdisciplinary research in bioeconomy and the sustainable transformation of supply chains Very good programming skills
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homepage: https://www.leibniz-bips.de/en . Please send your application in English with the usual documents quoting the reference number A25 / 36 by December 7, 2025 by e-mail as 1 pdf to: bewerbung
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project management skills strong programming experience (e.g. Python, Linux Bash scripting, CDO). expertise in processing large-scale data sets, especially NetCDF files is a plus specialist knowledge in
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science