658 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Germany
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publications, an overview of research and teaching activities, relevant certificates, as well as transcripts and a selection of recent course evaluations online at https://berufungsportal.unifrankfurt.de by
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multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary research. Almost all of its institutes are located on a single campus close to the Mainz city center
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programming and data analysis skills (e.g., Java) are an advantage We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and
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in learning and applying experimental biophysical techniques, in particular AFM (essential) basic knowledge of laboratory work (e.g. preparation of solutions and their calculation) a high degree of
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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» Willingness to conduct several months of ethnographic research in south-central Africa and to learn the local vernacular Silozi » Excellent knowledge of English is required; knowledge of German or willingness
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! This job offer is closely linked to a related opening at IET-3 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-362 Please feel free to apply
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protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/tu-dresden/arbeiten-an-der
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/Pages/Datenschutzerklaerung.aspx Where to apply Website https://jobs.zalf.de/jobposting/e15743565213697f9b525b30a89757e8a0ba0d700 Requirements Research FieldAgricultural sciencesEducation LevelPhD
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documents by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies) preferably via the TUD SecureMail Portal https://securemail.tu