52 machine-learning-"https:" "https:" "https:" "RAEGE Az" PhD research jobs in Germany
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personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3305/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp-5128.de.umantis.com
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personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3301/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp-5128.de.umantis.com
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Helmholtz-Zentrum für Umweltforschung - UFZ | Magdeburg, Sachsen Anhalt | Germany | about 2 months ago
personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3300/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp-5128.de.umantis.com
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. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic and non-academic
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literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic
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Germany. The position will start in April 2026 and is limited to 3 years. The doctoral position is part of a research training group on biota-mediated effects on carbon cycling in estuaries (https
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31.12.2025. Please apply exclusively via our job portal (https://jobs.uni-siegen.de ). Unfortunately, we cannot consider applications in writing or by e-mail. Your contact person: Prof. Dr. Roman Obermaisser
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personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3276/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp-5128.de.umantis.com
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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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, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, sta-tistics, machine learning