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to graduate before September 2027. Ideally, we then tailor both the coursework and the thesis to the project to be optimally prepared for the PhD position. Your tasks perform high-quality research
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, sustainable multi-salt electrolyte formulations will be developed and optimized for compatibility with hard carbon anodes, with the aim of enabling safe operation, fast charging, and long cycle life. We offer
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(including automatic code generation), AOCS hardware, and spacecraft avionics Pointing error engineering Advanced control, optimization and estimation techniques Smallsat and nanosat AOCS Laboratory facility
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with corporate relations and RSM alumni. Collaborate and synergise with internal stakeholders. Contribute to continuous improvement initiatives, focusing on process optimization and more efficient ways
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encompasses model compression and optimization for edge deployment on UAV-mounted processors to support real-time inference. The candidate will collaborate with industrial partners for real-world data
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When it comes to employment conditions, Wageningen University & Research has a lot to offer. Highlights from our CLA include: • working hours that can be arranged in consultation, allowing for an optimal
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to a platform that supports researchers in understanding and analyzing complex respiratory time-series data. You will merge codebases, implement dedicated data containers, port and optimize signal
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communities or living labs). Our studies often take place in the high-tech, health, and educational sectors with the intention to understand, evaluate, and optimize (inter)professional and (inter)organizational
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
interprofessional care teams in making optimal use of available healthcare information for care optimisation. Your colleagues: You will be based at the Department of Educational Development and Research and the
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on the results of the Erasmus+ project EDDIE. When it comes to the research part: This PostDoc project explores how artificial intelligence (AI) can be leveraged to optimize energy portfolios for local energy