138 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Leibniz in Germany
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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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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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, 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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, 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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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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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