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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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to staff position within a Research Infrastructure? No Offer Description The Department of World Archaeology, Faculty of Archaeology, Leiden University, is looking for a Post-doctoral Candidate in
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Technology Enabling Advanced Drone- Facilitated Active Support Tactics for Military and First Responder Operations.” You will be a member of the Human-Robot Collaboration Lab and Learning & Autonomous Control
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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The Department of World Archaeology, Faculty of Archaeology, Leiden University, is looking for a Post-doctoral Candidate in the field of Geophysics to join a project funded by the European Research
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Apply now The Department of World Archaeology, Faculty of Archaeology, Leiden University, is looking for a Post-doctoral Candidate in the field of Geophysics to join a project funded by the European
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Vacancies Postdoc position on deep learning based medical imaging for medical robot Key takeaways In this role, you will help develop and implement cutting-edge AI solutions for real-time, image
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research and interaction with industry. Where to apply Website https://www.academictransfer.com/en/jobs/354805/post-doctoral-researcher-on-fau… Requirements Specific Requirements We are looking for a
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Post-doctoral Researcher on Fault slip in induced seismicity scenarios Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 15