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Field
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hands-on work, access to advanced testbeds and software-defined radio platforms, and training in adjacent disciplines such as signal processing, AI for navigation, integrity monitoring, and sensor fusion
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of competing battery chemistries and how they might alleviate or exacerbate the extraction burden from the most impactful minerals. 3. Define scenarios for future (next 10-30 years) production, recycling and
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part of the EU-funded HUM.AI.N-ACCENT Doctoral Network, an interdisciplinary consortium of 13 labs and 24 partners across Europe, Canada, and the US. The successful candidate will benefit from
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instructions and clearly document issues/errors in data Ability to define problems, propose solutions, and implement them after consulting with supervisor Following training period, ability to work independently
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students and colleagues located across the 4 nations of the UK. HDR UK’s mission is to unite the UK’s health data
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and techno
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the University of Nottingham, contributing to cutting edge research into clean and sustainable energy technologies. Vision and Aim Ammonia is an essential component of the global strategy to achieve net-zero