1,544 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Germany
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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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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the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the
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proficiency in English The last MA degree should have been obtained less than six years ago. Language requirements IELTS certificate (band 6) TOEFL (550 paper-based, 213 computer-based, 80 Internet-based
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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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on developing the imaging system as well as novel machine learning approaches for image analysis and disease classification using field data from German and Brazilian agricultural trials. Responsibilities Design
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dedication to experimental work in a chemical laboratory environment and computer programming. • Team player skills and enthusiasm to work in a multi-disciplinary and multi-cultural environment • Excellent
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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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below) . For e-mail application, create a single PDF file and send it to tenuretrack(at)zalf.de stating the reference number T01-2026. https://jobs.zalf.de/jobposting
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mechanical Science and Engineering, Institute of Manufacturing, the Chair of Forming and Machining Technology is offering