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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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experice in machine learning, mathematical methods, and mathematical analysis Programming experience Teamwork and ability to work in an international environment Good communication skills Profound knowledge
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or documentation of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted). References. Contact information for references from the PhD programme or previous
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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engineering. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American
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research in Nanoscience and Nanotechnology. The center gives access to a broad range of infrastructure, tools and expertise including clean-room facilities. With a 5 year undergraduate nanotechnology program
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experience and advancing your career? The National Nuclear Security Administration Minority Serving Institutions Internship Program (NNSA-MSIIP) offers paid internships designed for talented undergraduate and
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Universität Berlin. The Mexican-German interdisciplinary project is funded by the German Research Foundation (DFG) and works in close cooperation with the Humboldt-Universität zu Berlin, the Universität Potsdam