39 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD research jobs in Germany
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contact details). Website for additional job details http://www.hipovor.eu Work Location(s) Number of offers available1Company/InstituteInstitute of Applied Optics (ITO) CountryGermanyCityStuttgartPostal
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Department, visit https://uni-tuebingen.de/en/faculties/faculty-of-humanities/departments/department-of-history/institutes/modern-history/homepage/. The position is funded for 2,5 years. The salary will be
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related programs (R-language) excitement in learning new concepts and methods joy in conceptual thinking and critical discussion We offer: an interesting research project embedded in the Biodiversity
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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application, please refer to myScience and reference JobID 211739. Where to apply Website https://www.myscience.de/jobs/id211739-research_assistant_on_a_part-time_basis_… Requirements Additional Information
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https://stellenangebote.uni-marburg.de/jobposting/1ca84d153a9a64449c27a1af9afb6… Requirements Research FieldChemistry » BiochemistryEducation LevelMaster Degree or equivalent Research FieldBiological
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qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector. Please apply online with proof of the required qualifications (without a photo) under https
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methodological approaches. The selection is done according to the SCRIPTS Diversity Rules & Guidelines: https://www.scripts-berlin.eu/about-us/Diversity/Diversity_Rules_Guidelines/index.html Job description: The
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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Beijing DRC Building D1, 1102A 19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: postmaster@daad.org.cn WWW: https://www.daad.org.cn/zh