314 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Germany
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- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
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- TH Köln - University of Applied Sciences
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- University of Bonn
- University of Duisburg-Essen
- University of Jena - Cluster of Excellence "Balance of the Microverse"
- University of Oldenburg
- University of Potsdam, Faculty of Science
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Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap-specific signals from raw
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for biotechnology. By combining mecha-nistic, statistical, and machine-learning models with automated experimental execution, the project will enable traceable, reproducible, and metadata-rich experimental planning
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention (https://www.dife.de/en/). We invite
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to apply E-mail lena.richter@helmholtz-berlin.de Website https://recruitingapp-5181.de.umantis.com/Vacancies/2788/Description/2?lang=eng Requirements Additional Information Website for additional job details
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of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail recruitment@desy.de Website https://www.desy.de/career/job_offers/index_eng.html?joboffer
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. Where to apply Website https://stellenbewerbung.hnee.de/jobposting/a00606b1df1f582e6b91ef009dfaddaf49c… Requirements Research FieldEnvironmental science » Natural resources managementEducation LevelMaster
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of slightly reduced working hours ( https://go.fzj.de/near-full-time ) The opportunity to work to some extend from home or another location within reasonable limits and in consultation with the supervisor 30
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to industry partners to learn and set up on-site research Preparing scientific publications and project reports Your Profile: Strong motivation for an interdisciplinary project that combines physics and biology
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socio-economic analysis, equipping them with advanced skills in reservoir modelling, machine learning, advanced oxidation processes, and microbial enhanced recovery. Candidates will also develop intuitive
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, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial