623 phd-computational-intelligence-"University-of-Exeter" Postdoctoral positions in United Kingdom
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The Role This scheme offers up to 6 months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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The Role This scheme offers up to 6 months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral
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the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
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science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing
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research progress through formal and informal reports and communications. Undertake additional duties as reasonably requested by project leaders, commensurate with the role. Essential Criteria A PhD (or near
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly