15 computer-science-intern "https:" "https:" "https:" "https:" "P" "Grenoble INP LCIS" PhD positions at University of Surrey in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Field
-
adapt quickly to new methods and technologies will be highly valued. How to apply Applications should be submitted via the Civil and Environmental Engineering PhD programme page. In place of a research
-
any UK or international candidates. Starting in October 2026. You will need to meet the minimum entry requirements for our PhD programme. How to apply Applications should be submitted via the Physics
-
This studentship is fully-funded by the Nuclear Threat Reduction network. The successful applicant will be welcomed into our world-leading research programme investigating key nuclear reactions
-
to apply Applications should be submitted via the Chemistry PhD programme page. In place of a research proposal, you should upload a document stating that this application is to the RAPTOR Nuclear Skills DFA
-
PhD Studentship: Building Synthetic Self-Propelled Cells for Bioinspired Motion Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique
-
This studentship is fully-funded by an EPSRC Industrial Doctoral Landscape Award in partnership with AWE plc. The successful applicant will be welcomed into our world-leading research programme
-
Quantum materials underpin key emerging technologies in quantum computation, sensing, and low-energy electronics (e.g. topological insulators, topological superconductors, spin liquids, superfluid
-
the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
-
for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
-
for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but