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salary and remuneration package (including 39 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources
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for motion control, and monitoring sensors. Job Requirements BS in Electrical and Electronic Engineering, Mechanical Engineering, computer engineering, or related field 4-year research experience in related
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The Networked Biophotonics Group at the Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, is inviting motivated and talented candidates from around the
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for fulfilling its teaching, research, and clinical missions. DoM employees approximately 600 salaried faculty, nearly 300 academic appointees, and more than 300 residents, fellows, and postdocs, supported by
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. Recipients will also have access to up to $5,000 AUD per year in tailored academic and wellbeing support. In addition, Aurora will facilitate community and network-building opportunities for individuals and
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, qualifications, and experience. Dr. Sebastian Calonico in the Graduate School of Management at the University of California, Davis, wishes to employ a 100%-time Postdoc who will contribute to several projects
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data collection in field trials using instrumentation, overseeing sample processing and data entry, conducting lab germination assays on seeds, installing and downloading data from weather sensors
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integrity, and interpersonal interactions Promotes and models a climate of respect, inclusion, and collegiality Integrates students into the culture of the discipline, and helps them network with relevant
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partners, including B&NES Council Public Health and Transport teams, Age UK, and the B&NES Affordable Food Network. Interviews for this position are expected to take place on the 14th or 15th July. Duties
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
Laboratory is offering a unique opportunity for a motivated student to pursue an industry embedded PhD in target tracking and sensor fusion. The project will involve an intensive research programme supported