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systems combine models and observations yet still rely heavily on precomputed risk maps. Deep learning has improved flood mapping, but many models remain event-specific and transfer poorly between
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, you will be significantly involved in the development and delivery of a range of high-quality teaching and learning activities supporting our HCPC approved and BDA accredited MDiet Dietetics programme
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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Years Application Closing Date 15th October 2026 Sponsor British Heart Foundation ( https://www.bhf.org.uk/ ) Supervisors Dr Simon Bamforth https://www.ncl.ac.uk/medical-sciences/people/profile
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science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming skills and an interest in proofs
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Type: Fixed-Term/Contract Placed On: 29th September 2026 Closes: 13th October 2026 Job Ref: 29732 We are a world class research-intensive university. We deliver teaching and learning of the highest
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computational modelling, machine learning and experimental validation to develop more efficient, durable and cost-effective green hydrogen technologies. Green hydrogen produced through water electrolysis
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] for a period of 6 months. Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk
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( [email protected] ) Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/