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Architecture, Ocean Engineering, Marine Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA or equivalent) and finite element analysis software (e.g
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architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in Computer Science, Natural Language Processing (NLP), or a
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innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI
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Job reference: SAE-029430 Salary: £47,389 to £58,225 per annum, depending on relevant experience Faculty/Organisational Unit: Science and Engineering Location: Oxford Road Employment type: Fixed
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to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine
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innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI
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focused on integrating synthetic biology, AI, and multi-omics technologies to decode and design gene expression regulation for human cell engineering. This role is based in Randall Centre for Cell
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong