Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- Plymouth University
- KINGS COLLEGE LONDON
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford
- Imperial College London
- Queen's University Belfast
- The University of Edinburgh;
- University of Bath;
- University of Hertfordshire;
- University of Leeds
- University of Leeds;
- University of Southampton;
- ;
- CRANFIELD UNIVERSITY
- Cranfield University;
- EMBL-EBI - European Bioinformatics Institute
- Imperial College London;
- King's College London
- Middlesex University;
- Queen's University Belfast;
- The University of Southampton
- University of Birmingham
- University of London
- University of Manchester
- University of Nottingham;
- University of Plymouth;
- University of Stirling;
- University of Warwick;
- 22 more »
- « less
-
Field
-
good collaborative skills within a team. You may also have strong theoretical and programming background in AI, machine learning, mathematical modelling including physics-based models, and/or robot
-
the applications of Machine Learning. Dr. Anthony Bellotti is Professor in the Department of Computer Science at UNNC. He received his PhD in machine learning from Royal Holloway, University of London
-
climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
-
, or computer science A PhD or equivalent professional qualification and/or experience in the field of machine learning for biology and mathematical modelling Strong planning and organising skills Excellent written and
-
climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
-
transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work
-
statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
-
biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
-
of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
-
purposes. We are looking for a confident, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning, data sciences, or closely related discipline. OR near to completion of a