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in a non-degree course or a PhD programme, within the scope of the project Decarbonising lithium recycling from spent Li-ion batteries - Li-cycle, funded by FEDER and by national funds, within
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• Applicants should have a PhD degree in civil or mechanical engineering or related disciplines • Possess fundamental knowledge in fatigue and fracture, structural integrity assessments and data driven
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for 2030+. About you Applicants should have a good honors PhD degree in wireless communications or AI and computer vision fields and a strong track record of publications. Preference will be given to those
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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We are seeking highly motivated and independent-minded candidates with a strong background in molecular biology, epigenetics, metabolism, cellular senescence, or related computational disciplines
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processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework
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concrete chemistry, reinforced concrete structures, computational and solid mechanics. Preferred Qualifications: Strong analytical skills are beneficial, including but not limited to SEM, TEM, XRD, TGA, FITR
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16 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 3 May 2026 - 00:00 (UTC
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or an equivalent degree within applied and computational mathematics or computational science, or, alternatively, within computational geoscience or computational physics. PhD students may apply
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-zero emissions by 2050. About You Applicants should have a doctorate degree or equivalent (PhD/EngD) in Engineering, Manufacturing, Transport, Computer Science, Data Science, Sustainability, or a closely