Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Aston University
- ; Imperial College London
- ; University of Leeds
- Bangor University
- CRANFIELD UNIVERSITY
- Cardiff University
- Cranfield University
- Newcastle University
- UNIVERSITY OF EAST LONDON
- University of Cambridge
- University of East London
- University of London
- University of Manchester
- University of Oxford
- University of Stirling
- 6 more »
- « less
-
Field
-
candidate will have a: Strong background in a relevant discipline (mathematics/ physics/ computer science/ bioinformatics). Enthusiasm for immunology and mathematical modelling Creative approach to problem
-
Project Title Modelling climate risk in the Arctic School/Faculty School of Geography Closing Date 31/05/2025 Eligibility UK Only Funding Home Funded Lead Supervisor’s full name & email address Prof
-
experience in Biosciences and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development. High level analytical
-
and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development. High level analytical capability is essential
-
practices beyond Euro-American models, and reinforcing Exeter’s position as a UNESCO City of Literature and a growing hub for literary and creative industries in the South West. You will be expected
-
nervous system (CNS) uptake. You will also develop in vitro cellular models to evaluate these systems, contributing directly to cutting-edge research with the potential to transform epilepsy care. Key
-
rigorous and impactful research building machine learning models; design, analyse and conduct computational simulations; provide guidance in machine learning methods to others in the group where necessary
-
these in vivo using established models in combination therapy approaches including the use of immune checkpoint inhibition and other antibody targets. The lab is well funded by the Academy of Medical
-
in modelling the circulation of open oceans, shelf seas and estuaries. The Digital Twin will be used to diagnose the impact of river flows, tides, surges, waves, and sedimentation/resuspension
-
and evaluation activities across the Centre, in accordance with the Theory of Change and evaluation protocols Undertaking evidence reviews Promote equality and value diversity, acting as a role model