79 web-programmer-developer "https:" "https:" "https:" "https:" "https:" scholarships at Newcastle University
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply For information on how to apply, please see https://www.ncl.ac.uk
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PhD Studentship: Development of a robust hydrological modelling framework for drought risk assessments Award Summary This studentship provides a tax-free annual living allowance of £25,726 plus a
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, existing systems lack robust validation and the capacity to predict how pollution plumes evolve. This project addresses this challenge by developing an advanced hydrodynamic and water quality modelling
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adaptation, and infrastructure resilience. This project will tackle that challenge by developing a new blended UK precipitation dataset at high temporal (15-minute) and spatial resolution. The student will
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well as at CEH and UCL. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https
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assemblage changes. Determining how coral reef fish food webs and energy pathways are connected along extended depth gradients of 0-90 meters. Based in Newcastle, and with international supervision, you will
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communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future assemblage changes. Determining how coral reef fish food webs and energy
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Scottish Power as part of your program. The project Power Electronic Devices (PEDs) have been proposed as a new approach to increase the uptake of low-carbon technologies (such as electric vehicles and heat
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(LCMS, NMR) new covalent warheads with suitable reactivity and stability for application to lysine-TCI development in drug discovery. These optimised warheads will be incorporated into known inhibitors
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and optimization but lack frameworks to continuously verify AI safety in operational contexts. This project aims to develop a dynamic validation framework for AI systems using high-fidelity digital