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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you curious about complex systems and learning
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to offer a coherent, system-level perspective to guide its strategic evolution notably in the context of machine learning/artificial intelligence numerical, weather, ocean and climate prediction systems. By
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, and/or machine learning. Preferably you finished a master in Computer Science, (Applied) Mathematics or related masters. Expertise in the field of visualization or visual analytics. You have good
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cybersecurity expertise with modern AI techniques such as machine learning, deep learning, or large language models? Then we strongly encourage you to apply. You will join an established team with 25+ members
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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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, recommendations and lessons learned for future phases of Celeste and LEO-PNT in general. You will also be responsible for identifying, assessing, managing and reporting the health and safety risks in your area of
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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. For the application, please upload the following two documents: A cover letter, incl. your motivation, career and learning goal(s) and CV A max. two-page research proposal Pitch Your Proposal: Selected candidates will
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caregiver consultation hours, we support you in every phase of your life. Growth and development Our online learning environment offers a wide range of training courses, e-learnings, and educational programs
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to both rural and urban areas, and address sustainability in agriculture, urban and natural land uses. Together with colleagues you teach students at Bsc and Msc level in spatial research methods and