49 data "https:" "https:" "https:" "https:" "UCL" positions at University of East Anglia
Sort by
Refine Your Search
-
Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
-
- Chemistry, Biochemistry, or Natural Sciences. Minimum academic requirement - A 2:1 undergraduate degree with a Masters qualification. Start Date: 1 October 2026 Additional Funding Information This PhD project
-
experience with experimental design, eye-tracking, data analysis, and coding (e.g., R, Matlab, Python) are highly desirable but not essential. The project will be supervised by Dr George Malcolm and the
-
Project Supervisor - Dr Stefano Landini The rapid evolution of electric vehicles (EVs), data centers, and high-performance energy storage is driving the need for battery systems that manage heat
-
. The standard minimum entry requirement is 2:1 in Computing science or related fields. Mode of Study Full-time Start Date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of
-
simulations that will be validated against subject-specific data of the real outcome. This will be an iterative process, aimed at finetuning the simulator’s biomechanical parameters, to improve its predictive
-
quantum systems can range from Markovian (“no memory”) to non-Markovian, where information is exchanged in both directions between system and environment. The relationships between light emission, quantum
-
application. Entry Requirements Acceptable first degree - Mathematics. 1st class BSc or 2:1 Masters or equivalent. Start Date: 1 October 2026 Additional Funding Information This PhD project is in a competition
-
: http://www.eigenket.org/ The successful candidate will receive comprehensive training and will work alongside experienced postdoctoral researchers and other research students. The project will involve
-
degree. Mode of Study Full-time Start Date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and