1,512 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions in Germany
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-site) appointments FLEXIBILITY: Flexible working time models, including options close to full-time (https://go.fzj.de/near-full-time), allow you to tailor your working hours to suit your individual
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societal actors, including scientists, local administration, coastal communities, and other decision-makers apply skills in data science, advanced AI interface development and machine learning?to apply
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
reports, and communicate results to peers and the public through presentations, writing, and digital media Engage in professional development and acquire new skills as needed Conduct work in both laboratory
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
of Munich. At our institute you will find a scientifically stimulating international environment. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to vpajob at tu-dresden.de or to: TU Dresden, Chair of Traffic Process Automation
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has been completed. If you enclose a stamped envelope, your application documents will be returned to you three months after the selection process has been completed. Where to apply Website https
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the collected data in accordance with FAIR standards for collaborative use within the Decode project and for machine learning applications Presentation of results in team meetings and preparation of a
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work together, in order to learn from one another and generate new knowledge and new methods to create a better quality of life in our world. DWI offers you a wide range of possibilities to develop