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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Carolina, US Hiring Range $17.00/per hour Proposed Start Date 08/18/2025 Estimated Duration of Appointment 6 months not to exceed 11 months Position Information Be a Tar Heel! A global higher education
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo
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of their high sensitivity, low pressure drop, and relatively straightforward operating principle. However, their response is dependent on the properties of the fluid, especially the thermal conductivity and heat
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about working at Radboud University, follow our Instagram account(link is external) and read stories from our colleagues. You have not yet given permission to place the required cookies. Accept
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. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. The start date is 1st October
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strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives
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are envisioned to integrate a wide range of user terminals and network elements, which vary from small devices with limited capabilities to terrestrial base stations and even low Earth orbit (LEO) satellites
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. The Studentship will include a bursary (€16,000) and EU fees. For non-EU applicants, a non-EU fee waiver may also be available, but this cannot be guaranteed (a difference of approximately €6000p.a.). Selection
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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of Glasgow, or University of Oxford) to undertake your PhD research. About this Project Project Title: Low-Power AI-Driven Resource Management for Enhancing Satellite Communication Link Reliability