23 information-science-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Newcastle University
Sort by
Refine Your Search
-
for the ‘Course Title’ using the programme code: 8050F Research Area: Computing Science Select ‘PhD Computer Science (full time) - Computing Science' as the programme of study You will then need to provide
-
, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
-
only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
-
, automation, high-throughput synthesis and biological testing – skills in high demand across the pharmaceutical industry. The project is a collaboration with Eli Lilly Pharmaceuticals (Boulder, Colorado, USA
-
this: new chemistry methods that let around 100 candidate compounds be made, purified and tested for biological activity together, in a single operation taking as little as a week. You will apply this new
-
Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
-
Award summary 100% of home tuition fees paid, annual stipend of £21,805 and additional funding given to cover research costs of £15,000. This studentship is only available to those eligible for UK
-
relevant subject, such as health sciences, biomedical engineering, or related discipline. A strong interest in implementation science, innovation adoption, or health systems research is essential, alongside
-
health/epidemiology/social science/sociology/biology/environmental sciences/microbiology/statistics/veterinary or human medicine). Applicants whose first language is not English require an IELTS score
-
Neurodiversity is an umbrella term for people processing information in different ways. This variability is natural; all neurotypes are equally valued. There are many types, for example autism, ADHD, dyslexia