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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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automation. Interest or experience in metabolomics, mass spectrometry, and scientific programming is highly desirable. Strong communication skills and fluency in English (spoken and written). Where will you
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. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so very good proficiency in written and spoken English is a prerequisite
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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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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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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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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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language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position can be filled
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The Intelligence Community (IC) Postdoctoral Research Fellowship Program (IC Postdoc Program) was established in 2000 to support unclassified basic research in areas of interest to the IC. Funded
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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