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detected earlier and prevented more effectively. This position aims to generate new knowledge that supports healthier indoor environments in the face of climate change. Ultimately, your work will help reduce
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of the Copernicus Contributing Missions Activity to ensure optimal business continuity in terms of EO data provisioning to Copernicus services, the improved fulfilment of user needs and the gradual onboarding
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institutes, public stakeholders, and industry partners to develop integrated knowledge and tools for nature-inclusive offshore wind development. The Institute of Environmental Sciences (CML) at Leiden
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to generate new knowledge that supports healthier indoor environments in the face of climate change. Ultimately, your work will help reduce the global burden of respiratory disease. Your colleagues: You will be
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, healthcare, and industry while developing solutions with a clear societal impact. What You Will Do As an EngD candidate, you will focus on translating knowledge into practical technological solutions. Your
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learning community, we encourage each other to optimally develop our talents, combine knowledge and skills, and apply them in society in a sustainable manner. External recruiters need not inquire.
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, aerial robotics, robotic manipulation, optimal control, robot learning, or human-robot interaction. Experience with developing planning, control, or coordination algorithms for robotic systems, preferably
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your experimental skills to provide understanding of complex multi-phase phenomena and optimize industrial processes. With your pioneering mindset and hands-on experimental experience, you will be able
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and feel? And how can that knowledge help us optimize education and child health care? At Maastricht University, the Developmental Cognitive Neuroscience group is addressing exactly these questions
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, develop and optimize reporting processes, manage impact assessments, prepare funding applications, and to establish robust long-term data-collection and -analysis processes. Job description As Project