25 coding-"https:" "https:" "https:" "https:" "https:" "https:" "CFM Centro de Física de Materiales" PhD positions at University of Nottingham
Sort by
Refine Your Search
-
to undertake a 4-year, enhanced stipend PhD studentship, within the Digital Metal CDT https://digitalmetal-cdt.ac.uk/ at the University of Nottingham. The Centre for Excellence in Coatings & Surface Eng
-
PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic
-
available and how to apply, please visit: http://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Applicant Requirement 2:1 Bachelor or Masters degree or international
-
via the University of Nottingham admissions portal: https://www.nottingham.ac.uk/pgstudy/course/research/2026/chemistry-phd View All Vacancies
-
of Nottingham. The Rolls-Royce UTC at the University of Nottingham is a leading research institution specializing in the development of soft and continuum robots for challenging environments (https
-
process: http://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Entry Requirements: Applicants are normally expected to hold a 2:1 Bachelor’s degree or Master’s
-
for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
-
technology, and/or consumer research is desirable. Candidates with a relevant Master’s degree or significant industry experience are also encouraged to apply. How to Apply Full details available at https
-
technology, and/or consumer research is desirable. Candidates with a relevant Master’s degree or significant industry experience are also encouraged to apply. How to Apply Full details available at https
-
al. (2024) – Workload assessment in robotic teleoperation (Scientific Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN