Sort by
Refine Your Search
-
, please see www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=GPSEAP26 Contact details For questions about the position, please contact Dr Jemima Repo (Jemima.Repo@newcastle.ac.uk
-
copy of your English language qualification if completed must be uploaded. Contact details For further details about the studentship, please contact: Dr. Eugene Tang E-mail: eugene.tang@newcastle.ac.uk
-
for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT funded by EPSRC and the
-
urban green infrastructure, and shaping future design standards. Ideal for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part
-
about the scholarship and details on eligibility and applications, contact the Marshall Aid Commemoration Commission. Contact Details Marshall Aid Commemoration Commission Woburn House 20-24 Tavistock
-
, delivering greater performance, functionality, and reliability. This demands the adoption of faster switching wide bandgap devices and greater system integration. About This PhD This PhD programme is part of a
-
academia. If you care about what happens after the PhD—about building things that matter, solving real problems, and entering the workforce with credible industrial experience—this opportunity is designed
-
). Additional project costs will also be provided. Overview Data centres are among the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation
-
. Breast cancer is the most common malignancy in the UK, with over 55 000 new diagnoses annually. Surgery (lumpectomy or mastectomy) is the best line of treatment. To enable surgeons to identify the cancer
-
acoustic data, has shown transformative potential in domains such as healthcare, environmental monitoring, and autonomous systems. However, most advances rely on large datasets and computationally intensive