Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Contract & job type: Full-time, Fixed-term for until 31st July 2027 About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we...
-
experimental analysis of optoelectronic properties. We will deploy a cutting-edge combinatorial approach, correlating atomic-scale resolution imaging and multiscale defect mapping approaches with macroscopic
-
experimental analysis of optoelectronic properties. We will deploy a cutting-edge combinatorial approach, correlating atomic-scale resolution imaging and multiscale defect mapping approaches with macroscopic
-
advanced numerical simulation and/or optimization tools to the design and characterization of the facility; interact with other technical groups working on the Diamond-II design (e.g. Engineering
-
optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will develop methods from stochastic control, which will provide a mathematically grounded approach that has a
-
Senior Technicians will be responsible for supporting these venues, and the wider building, ensuring optimal management and coordination of the facilities and providing a high quality of technical
-
medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
-
the most pressing areas of fundamental understanding which are currently lacking and need to be overcome in order for the four PV device concepts to be optimized. The modelling findings on a range of
-
to work both independently and as part of a team and have good communication skills. In this role, you will refine and optimize methods for the directed differentiation of human embryonic stem cells
-
medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry