1,577 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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civil and military operations“ and „operational analysis and evaluation“. The combination of these research focus areas provides an ideal platform for interdisciplinary research in simulation and
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Your Job: Research and extract industrial and commercial buildings across Germany using open-source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc) Apply machine learning/AI
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
, s.santhosh.leibniz-lsb@tum.de . More information on the working group can be found here: https://www.leibniz-lsb.de/en/research/research-sections/section-i . Please send your application, including a tabular CV
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): https://go.fzj.de/bmi.tvoed PERSPECTIVE: The position is initially for a fixed term of 3 years but with the prospect of longer-term employment SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International
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contact details of referees via our online application portal for this job posting (reference number 2026-TA-1) at https://www.atb-potsdam.de/en/career/vacancies . Applications received after
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arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a
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see this link for details: https://www.tum.de/en/studies/fees . Costs of living In order to cover personal expenses while studying in Munich, we recommend a budget of at least 1,000 EUR per month
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information here: https://www.uni-muenster.de/studieninteressierte/en/einschreibung/semesterbeitrag.shtml . Costs of living We recommend that students budget at least 1,000 EUR per month to meet personal
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of the work Your Profile: Master student in biology, biotechnology or related field Interest in cloning, microbial cultivations and genetic engineering Willingness to learn new methods and engage with subject