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rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with
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, operations planning, space hardware, electronics, embedded system development, and NASA procedures and practices; Experience in the design, development, and testing of space instruments, payloads, or
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Sciences ( https://www.mn.uio.no/geo/english/research/about/infrastructure/facilities/observations/geosciences/the-drone-infrastructure-laboratory /). The position is embedded in a network of projects
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enrolment at the PhD School of Natural Sciences at Aarhus University. The expected PhD-project will be embedded in a work package that focuses on the design, implementation, and evaluation of AI and
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, enclosure and casing design, waterproofing and environmental protection, thermal performance assessment, manufacturability and testing. The successful candidate may also contribute to embedded systems
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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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also cooperate with scientists and engineers from EOP-FA (the System Architect Office) at ESTEC, and potentially with staff in other parts of ESA. You will be part of the ESA Φ-lab, whose mission is to
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University of British Columbia - Department of Medicine | Northern British Columbia (Fort Nelson), British Columbia | Canada | 24 days ago
candidate will join a rapidly expanding international research program dedicated to uncovering the mechanisms of immune-mediated diseases of the nervous system through human discovery science. Embedded
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international research program dedicated to uncovering the mechanisms of immune-mediated diseases of the nervous system through human discovery science. Embedded within an extensive interdisciplinary network of
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close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system