Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Heriot Watt University
- AALTO UNIVERSITY
- Durham University
- KINGS COLLEGE LONDON
- University of Liverpool
- University of London
- Medical Research Council
- UNIVERSITY OF VIENNA
- University of Cambridge
- ; Technical University of Denmark
- ; The Francis Crick Institute
- Aston University
- DURHAM UNIVERSITY
- Imperial College London
- King's College London
- Nature Careers
- Royal College of Art
- 9 more »
- « less
-
Field
-
. The lab works on Toxoplasma gondii, a highly successful parasite of both humans and animals. Toxoplasma is highly versatile, able to infect all warm-blooded animals, and ubiquitous, with an estimated
-
and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
-
through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders
-
probabilistic ensemble techniques to improve uncertainty representation in climate simulations. Apply and validate Monte Carlo methods (e.g., importance sampling and other rare-event estimation methods
-
leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm
-
researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
-
) Understanding of basic cell culture techniques (media preparation, sterile conditions) Computer literacy is essential for the recording and communication of results Experience of work in sterile conditions
-
learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
-
defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
-
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