Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- King's College London
- AALTO UNIVERSITY
- University of Cambridge
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of London
- University of Birmingham
- ; University of Cambridge
- DURHAM UNIVERSITY
- Nature Careers
- University of Liverpool
- ; King's College London
- ; Royal Holloway, University of London
- ; The University of Manchester
- ; University of Copenhagen
- ; University of Kent
- ; University of Oxford
- Imperial College London
- St George's University of London
- University of Glasgow
- University of Manchester
- University of West London
- 16 more »
- « less
-
Field
-
numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
-
-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
-
• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
-
experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
-
electronically through our online recruitment system and provide the following documents in English: For Doctoral Researcher position applicants: Motivation letter – including contact information (max. 1 page
-
on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
-
-term carbon cycle and over the coming century. This PDRA position will focus on model approaches to quantifying CO2 exchanges associated with chemical weathering associated with the warming cryosphere
-
of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
-
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 PhD degree in Engineering, Computer
-
original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation