10 service-designer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Newcastle University
Sort by
Refine Your Search
-
home tuition fees. Overview Interested in developing innovative solutions to collect research outcome data in primary care? The 10-Year Health Plan includes the transition from hospital to the community
-
mixed methods to explore: (i) perspectives and impact of the CDCs for service users and healthcare staff (qualitative), as well as advanced statistical methods to explore: (ii) relationships/associations
-
cybersecurity, finance, healthcare, and public services, where accuracy alone is not enough. Such systems must also respect legal, regulatory, contractual, or organisational limits on their use and disclosures
-
at a time, with each cycle of design, synthesis and testing taking months. This project will pioneer a faster way to do this: new chemistry methods that let around 100 candidate compounds be made
-
new medicine usually means making and testing candidate drug molecules one at a time, with each cycle of design, synthesis and testing taking months. This project will pioneer a faster way to do
-
, and manufacturing. By providing empirical evidence rather than purely theoretical assurances, the project will support regulators, system designers, and security engineers in making informed deployment
-
move into practice? This project will examine how implementation considerations can be embedded earlier in innovation pathways to inform policy and healthcare decision-making. Although horizon scanning
-
mitochondrial biology, a highly specialised clinical service, human genetics, proteomics, bioinformatics and translational science. You will be supervised by Professor Rob Taylor, Dr Sarah Pickett and Professor
-
acquisition in biology. With this knowledge in hand, you will then use AI guided protein engineering to explore the feasibility of developing ‘designer’ lanthanophores. Finally, natural and engineered
-
regulators, system designers, and security engineers in making informed deployment decisions. The outcomes are expected to influence both academic research and industrial best practices for trustworthy AI in