412 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
programme. You will specifically be located in the Barnes group, but you will also work across large Interdisciplinary team going from antigen discovery to human cancer prevention studies. You will be part of
-
a 3-year, fixed-term position, funded by a research grant from the UK Engineering and Physical Sciences Research Council. The starting date of this position is flexible with an earliest start date
-
Applications are invited for a Health Economics researcher to join a team led by Associate Professor Koen Pouwels. This research programme focuses on evaluating the cost-effectiveness of infectious
-
proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be
-
approach to service provision and manage a c.£100m digital transformation programme. As such, we require potential candidates to possess good people, process, IT and accounting skills ideally proven in a
-
clinical psychologists, other research assistants, psychology assistants, project and trial managers, and computer scientists. With a psychology degree (2:1 or above), you will have an interest in
-
-quality, safe, accessible, and welcoming front-of-house operations across a year-round programme of arts, academic, and public events. This is a hands-on role requiring strong leadership, customer service
-
computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
-
the University of Oxford’s CRM Programme. This role focuses on designing, developing and delivering an effective CRM solution, in alignment with programme objectives and governance, to support the delivery
-
(CoI-AI) Programme. This ambitious programme combines advanced immunology, artificial intelligence, and human challenge models to transform vaccine discovery and accelerate development against major