Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Imperial College London
- Nature Careers
- University of Birmingham
- King's College London
- University of Cambridge
- Heriot Watt University
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of London
- University of Manchester
- University of Sheffield
- The University of Southampton
- University of Glasgow
- University of Newcastle
- Durham University
- Medical Research Council
- Nottingham Trent University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- Technical University of Denmark
- University of Bath
- University of Bristol
- University of Leeds;
- University of Liverpool
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Oxford
- Bangor University
- Birmingham City University
- CRANFIELD UNIVERSITY
- City University London
- King's College London;
- Lancaster University
- Lancaster University;
- Plymouth University
- Queen's University Belfast;
- Royal College of Art
- Swansea University
- UCL;
- UNIVERSITY OF MELBOURNE
- Ulster University;
- University of Leeds
- University of Plymouth;
- University of Reading
- University of Surrey
- University of Surrey;
- University of West London
- Xi'an Jiaotong - Liverpool University
- 46 more »
- « less
-
Field
-
experience in spatial analysis and/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality
-
or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
-
Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
-
and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Informal enquiries can be made to Dr Hazel Wilkinson, Deputy Director IDAI, email
-
- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
-
analysis and machine learning methods for optimisation and decision making, to describe the F&V supply chains for various products at regional UK scale and assess their resilience to cascading risks
-
population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
-
are seeking a Research Assistant to join a team working at the intersection of medical imaging and machine learning at the University of Oxford. This is an exciting opportunity to work across disciplines
-
comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
-
collaboration with the world-leading Briscoe lab at the Francis Crick Institute. It is using mathematical and machine-learning methods to study the early development of the neural system and developing those