37 machine-learning "https:" "https:" "https:" "The University of Edinburgh" PhD research jobs in Germany
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Eberswalde University for Sustainable Development | Eberswalde, Brandenburg | Germany | about 1 month ago
. Where to apply Website https://stellenbewerbung.hnee.de/jobposting/a00606b1df1f582e6b91ef009dfaddaf49c… Requirements Research FieldEnvironmental science » Natural resources managementEducation LevelMaster
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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, statistics, machine learning) - a high motivation and the ability to work independently with a strong team orientation - excellent spoken and written English and the will to acquire a certain working language
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science. Find all details here: https://siiri-sfb.de/en/karriere-hr/jobs/ Where to apply Website https://siiri-sfb.de/en/karriere-hr/jobs/ Requirements Research FieldBiological sciencesEducation LevelMaster
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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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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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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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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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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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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
., using FEniCSx) Advanced knowledge of scientific programming, preferably in Python, including experience with implementing machine‑learning methods (e.g., PyTorch) Excellent spoken and written English, as