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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
. Job description Your key tasks are: Carrying out an independent research project under supervision, including deriving its mathematical basis and implementing results in code; Completing PhD courses
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with Durham University academic supervisors and an Intel co-supervisor on research in Physical AI, edge AI and intelligent autonomous systems. Closing date: 15 August Overview AI is shifting from passive
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Energy Futures research partnership, bringing together geoscientists, engineers, and social scientists to advance geoenergy research across the N8 Research Partnership. The studentship is available
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guidance, research training, publication support, hardware/compute access and Intel engagement opportunities. Entry requirements: Relevant undergraduate or master’s degree in computer science, AI