164 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Netherlands
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; streamlining, improving and providing regular training on ground segment processes related to the Navigation Quality Management System; ensuring that the lessons learned for the Galileo ground segment
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information, technology, and hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During
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of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With
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written and spoken English. You will be expected to teach at an academic level in English. Employment conditions and benefits The conditions of employment correspond with the collective labour agreement
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on their qualifications, skills, and potential. Your background, gender, beliefs, or origin don’t matter. Candidates should be able to demonstrate motivation, eagerness to learn, and ability to work both independently and
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Qualification portfolio. You will be part of the WECARE research team, led by Dr Sonja Marzi (PI). Your supervisors will be Dr Sonja Marzi, Dr Tine Davids and Dr Edwin de Jong. Would you like to learn more about
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information, technology, and hardware which is subject to European or US export control and sanctions regulations & eligible to acquire the security clearance by their national security administrations. During
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& Research Learning about danger: a virtual reality approach to study learned predator recognition in fishes Yanell Braumuller PhD candidate Leiden University & Naturalis Biodiversity Center Rooting for
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relationship management and communication skills; the ability to drive your team’s performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive
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: Advancing understanding of variability in motor control and learning to enhance clinical practice (TReND)’. The project commenced on 1 September 2024. As one of the original doctoral candidates is no longer