Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Birmingham
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- University of Oxford
- CRANFIELD UNIVERSITY
- Queen's University Belfast
- ; Technical University of Denmark
- Aston University
- Brunel University
- QUEENS UNIVERSITY BELFAST
- University of Leeds
- University of Manchester
- University of Sheffield
- ; University of Cambridge
- Kingston University
- Manchester Metropolitan University
- UNIVERSITY OF SURREY
- University College London
- University of Glasgow
- University of Surrey
- ; UCL
- ; University of Glasgow
- ; University of Nottingham
- ; University of Warwick
- Birmingham City University
- Cardiff University
- City University London
- Cranfield University
- Durham University
- Nuffield College
- Plymouth University
- UNIVERSITY OF GREENWICH
- University of Bristol
- University of Greenwich
- University of Hull
- University of Liverpool
- University of London
- University of Newcastle
- University of Stirling
- 37 more »
- « less
-
Field
-
computer science, engineering, mathematics or physical sciences area Recent high quality research experience in machine learning/AI, or both, as evidenced by a strong track record of publications in leading
-
, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation for environmental monitoring and management in
-
will involve close collaboration with the California Institute of Technology (Caltech) and inter-institute visits to drive the project forward and translate our research into tangible innovations
-
have: a PhD or equivalent qualification (or be nearing completion thereof) in Materials Science/Engineering or another subject relevant to the study, development and/or application of nanostructured
-
about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
-
a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
-
applications from candidates who meet the following criteria: PhD (or about to complete) in relevant discipline e.g. Bio/Medical/Mechanical Engineering; a track record of developing validated computational
-
obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
-
About the role We are seeking a Senior Bioinformatician to join the Hub for Applied Bioinformatics (HAB) within the Faculty of Life Sciences & Medicine at King’s College London. Reporting
-
the boundaries of 6G technology. Your primary responsibility will be to spearhead research initiatives aimed at developing the domain of Edge Computing for 6G Networks. Holding a PhD (or have submitted your thesis