139 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Leibniz
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on the processing of personal data as part of 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
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increasing sustainable economic prosperity and social participation under constantly changing conditions. Want to know more about us and your career opportunities? Come and meet us at https://www.ifo.de/en
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as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/
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. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) and use the button “e-mail application” below. https://jobs.zalf.de
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strong foundations in machine learning and artificial intelligence, as well as a solid mathematical background. The position requires a strong interest in exploring multiple research directions toward
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based on machine learning. Reference number 08/26 Your tasks 1. Assessment and analysis of GaN technology characterization data Identification of outliers during testing, with and without machine learning
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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or see http://www.dpz.eu. For more information about the Leibniz Association see www.leibniz-gemeinschaft.de
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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based on machine learning. Reference number 05/25 Your tasks Assessment of GaN technology in possible novel integrated GaN RF front-end configurations - Full duplex in-band transceivers - Integrated down