135 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Leibniz in Germany
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of 1 or 2 references Submission will be accepted until 30 December 2025. https://www.leibniz-inm.de/en/job-offers-2/ For more information on the institute, please see: https://www.leibniz-inm.de/en
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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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Center, the Campus Institute for Data Science, and the Campus Institute for Dynamics of Biological Networks. The eleven doctoral projects are spread across these Göttingen Campus institutes. We welcome
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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
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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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machine learning algorithms Strong communication skills and ability to work in interdisciplinary teams Fluency in spoken and written English We offer: A dynamic and interactive research environment as
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information retrieval, data integration, machine learning/AI, LLMs, knowledge graphs excited to use vector databases, e.g. integrating deepset haystack for RAG interested in experimenting with solr, postgres
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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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), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack