38 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD research jobs in Germany
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command of written and spoken English • Experience with qualitative research methods is an asset • Good knowledge of machine learning /data mining in science • Good programming skills in at least one
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Analytics and Operations Research Details: https://www.science.hr/jobs/216064/research-and-teaching-assistant-phd-… Where to apply Website https://www.science.hr/jobs/216064/research-and-teaching-assistant
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personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3307/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp-5128.de.umantis.com
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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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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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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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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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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
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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