Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- Imperial College London
- KINGS COLLEGE LONDON
- Nature Careers
- University of Birmingham
- AALTO UNIVERSITY
- King's College London
- University of Cambridge
- University of London
- Heriot Watt University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- Queen's University Belfast
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Manchester
- Durham University
- QUEENS UNIVERSITY BELFAST
- The University of Southampton
- University of Cambridge;
- University of Liverpool
- University of Newcastle
- University of Sheffield
- University of Surrey
- ; University of Oxford
- Birmingham City University
- CRANFIELD UNIVERSITY
- City University London
- Manchester Metropolitan University
- Medical Research Council
- Nottingham Trent University
- Queen's University Belfast;
- Royal College of Art
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Bristol
- University of Leeds
- University of Lincoln
- University of Reading
- University of West London
- 33 more »
- « less
-
Field
-
development with Python Experience of machine learning with PyTorch Good knowledge of machine learning and computer vision algorithms Ability to work on own initiative and in a team Experience in collaborative
-
10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
-
are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
-
using hybrid models combining mechanistic, GenAI, and machine learning approaches. You’ll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets
-
skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential To apply online for this vacancy and to view further
-
. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
-
Veronika Fikfak. The Postdoctoral Research Associate will be responsible for data collection from different human rights case law databases, coding (including machine learning) and data analysis. They will
-
, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate
-
, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part
-
quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required