261 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
tract, how immunity develops in early life, and how it goes awry in devastating inflammatory diseases such as necrotising enterocolitis and inflammatory bowel disease. Spatial ‘omics and single cell
-
teams and in the wider University. The postholder will work closely with academic and research staff to support the development and submission of grant applications, liaise with University Research
-
, they will liaise with individual research groups regarding work requests, and they will be expected to help train other members of the team in histological techniques. In this position you will undertake
-
About the Role Join a multi-disciplinary team that explores human intestinal development and disease using cutting edge single cell and spatial biology technologies, organoid models and
-
for all relevant tasks to ensure your success. You will be based at the CRG Unit, Level 4, Nuffield Department of Women’s and Reproductive Health, where you will have opportunities for personal development
-
publications. This includes opportunities for suitable candidates to seek independent research funding and to develop a laboratory, clinical or a translational research proposal for a higher degree (DM/DPhil
-
Compatible Growth (CCG) programme and the Strategic Hydrogen Integration for Effective Low-Carbon Development (SHIELD) in Ukraine project and is fixed-term until 31 March 2026. CCG is a £95m UK ODA-funded
-
professional development opportunities Before submitting an application, please review the full details of this post including the selection criteria by opening the 'Job Description' attachment below. To submit
-
of 24 months. The project aim’s to develop new constitutive models to describe the mechanical behaviour of Thermoplastic Elastomers (TPEs). These polymers are increasingly being developed as a
-
of extreme events. New modelling capability will be developed to quantify impacts of extreme events on surface melt of ice shelves. These advances will bring a step change over current knowledge of extremes in