Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- University of Oxford;
- AALTO UNIVERSITY
- King's College London
- UNIVERSITY OF VIENNA
- ;
- Durham University
- University of Cambridge;
- University of Liverpool
- University of Liverpool;
- Bournemouth University;
- Cardiff University
- City University London
- Heriot Watt University
- Imperial College London
- Lancaster University
- Nature Careers
- University of Cambridge
- University of Exeter
- University of Leicester
- University of Leicester;
- University of London
- 13 more »
- « less
-
Field
-
., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation of geographic categories and processes. While we welcome applicants from a broad range of
-
experience in machine learning and image analysis for ultrasound images and video. The successful applicant will possess specialist experience conducting fieldwork, particularly in low-resource or rural
-
state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. As a Postdoctoral researcher, you will
-
. This is part of your personality: Completed doctoral/PhD studies in the field of chemistry, pharmacy and similar fields Excellent knowledge in computer-aided drug design and medicinal chemistry Publications
-
and willingness to learn and develop new skills and techniques will be paramount . The Department of Chemistry at Durham is one of the very best in the UK, with an outstanding reputation for excellence
-
groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
-
following: Quantum chemistry (preferably of excited states) Multiscale simulations/environmental modelling Excited state dynamics Data Science/Machine learning in chemistry/Cheminformatics Molecular dynamics
-
matching post based at Teesside University); (3) nature and natural heritage (the focus of a matching post based at Newcastle University); (4) active evaluation for learning (e.g. research conducted by team
-
at Université Paris-Saclay (https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing