137 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Leibniz
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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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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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, 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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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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, subject to a fee) and presented to IPB Human Resources at the time of hiring: (https://www.kmk.org/zab/central-office-for-foreign-education ). Who we are: The Leibniz Institute of Plant Biochemistry (IPB
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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
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Learning, especially in spatiotemporal modelling, environmental data analysis, or multimodal learning, Practical experience in applying Machine Learning, ideally including deep learning, foundation models
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: active learning (uncertain cases first), smart sampling, confidence thresholds, gradations (auto-label/review/manual), measurement and decision logic for throughput vs. quality. Proficiency in programming