Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- DURHAM UNIVERSITY
- Durham University
- King's College London
- AALTO UNIVERSITY
- University of Cambridge
- University of Oxford;
- Heriot Watt University
- University of Reading
- UNIVERSITY OF VIENNA
- University of London
- King's College London;
- University of Cambridge;
- University of Liverpool
- Imperial College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Edinburgh;
- University of Glasgow
- Aston University
- Heriot-Watt University;
- Imperial College London;
- John Innes Centre
- Manchester Metropolitan University
- Nature Careers
- Northumbria University;
- Swansea University
- UNIVERSITY OF READING
- University of Exeter;
- University of Manchester
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Charles University;
- Durham University;
- Lancaster University
- Max Planck Society
- Medical Research Council
- NORTHUMBRIA UNIVERSITY
- Sheffield Hallam University
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- UCL;
- University of Birmingham
- University of Essex;
- University of Hull
- University of Leeds
- University of Liverpool;
- University of Newcastle
- University of Nottingham
- University of Nottingham;
- University of Reading;
- University of Sheffield
- University of West London
- University of York;
- 48 more »
- « less
-
Field
-
experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
-
to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
-
, economics, environmental science). You will bring expertise in food systems modelling, supported by a strong technical background that may span areas such as data science, input–output analysis, applied
-
-edge projects in random growth models, the KPZ universality class, and probability theory. The successful candidate will work closely with Dr Busani and collaborators within the Maxwell Institute
-
international collaborations they will produce single-cell genomic data and contribute to gene regulatory network models to predict gene expression associated with cold tolerance. The post-holder will test the
-
About the Role This is an opportunity to work as part of the team and project “Development of Multi-Modal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System
-
megakaryocyte cell communication and coordination. We will employ a range of approaches including advanced microscopy (confocal and intravital), models of thrombus formation (ex vivo and in vivo ), and flow
-
for carrying out research to develop iPSC-derived lung cell models. Working within a team of biochemists, cell and structural biologists, you will perform experimental work to apply omics technologies, advanced
-
navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as
-
interactions. We’re Looking for Someone With: Strong expertise in protein structure prediction, molecular modelling, and docking. Proficiency in LINUX, bash scripting, and high-performance computing environments