669 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Germany
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colleagues and for sporting activities alongside work Flexible working hours and appropriate remuneration In addition to exciting tasks and a collegial working environment, we offer you much more: https
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like knowledge graphs, information extraction, machine learning or artificial intelligence in the context of scholarly data Publication of research and project results Your profile: Scientific University
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performance criteria. Interested? We look forward to your application! Please upload your CV and motivation letter by February 28th, 2026 via our online application system: https://www.leibniz-inm.de
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and experience or willingness to learn methods, in particular the morphological, chemical, and microbiological characterization of plant samples Very good knowledge of statistical data analysis and data
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approach familiarity with the German academic system and the country’s policy landscape We appreciate your willingness to acquire German language skills. The University of Hamburg and the GIGA will provide
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to vpajob at tu-dresden.de or to: TU Dresden, Chair of Traffic Process Automation
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of the science location Cottbus-Senftenberg and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and practice
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found here: https://uni-tuebingen.de/en/research/core-research/cluster-of-excellence-human-origins/
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. The successful candidate (f/m/d) is expected to be committed to the university’s strategic goals and to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In
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individually, e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR REMUNERATION: Depending on your qualifications and assigned