Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- ;
- ; UCL
- University College London
- University of Sheffield
- ; CRUK Scotland Institute
- ; The Francis Crick Institute
- ; University of Cambridge
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- Cornell University
- Ulster University
- University of Bath
- University of Bristol
- University of Cambridge
- Université de Namur
- 6 more »
- « less
-
Field
-
to relevant research case studies within the AI4CI Research Hub. Developing data pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the
-
more than one year (or part-time equivalent) are NOT eligible to apply for an award. Recommended reading https://www.england.nhs.uk/2019/06/nhs-aims-to-be-a-world-leader-in-ai-and-machine-learning-within-5
-
3 Jun 2024 Job Information Organisation/Company Université de Namur Department Physics department: Research unit for analysis by nuclear reactions (LARN) Research Field Computer science » Modelling
-
pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the application of AI in developing resilience to pandemics. Analysing historical
-
A four-year PhD Studentship in Pharmacometrics and Machine Learning funded by the UKRI EPSRC and GSK is available within the Institute for Global Health. The studentship will commence from 1st
-
-termWorking TypeHybridAvailable for SecondmentNoClosing Date14-Jun-2024 A four-year PhD Studentship in Pharmacometrics and Machine Learning funded by the UKRI EPSRC and GSK is available within the Institute
-
collaborative, interdisciplinary setting. You must hold (or be about to receive) a PhD in Statistics, Data Science, Computer Science, or a related discipline. Substantial experience applying machine learning
-
will initially be focused on developing and evaluating machine learning and statistical modelling tools to predict and classify disease trajectories using large scale health records databases to answer
-
have a PhD in a relevant area as well an appropriate track-record of high quality research outputs in the field of Artificial Intelligence / Machine Learning, and clear and ambitious plans for future
-
of experts in machine learning and colour vision, including Dr Alexandros Koliousis (NU London), Professor Rhea T. Eskew (NU Boston), and Professor Andrew Stockman (UCL), as well as with technical