Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of London
- Durham University
- University of Liverpool
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Manchester Metropolitan University
- Heriot Watt University
- Nature Careers
- Aston University
- University of Nottingham
- ; University of Cambridge
- ; University of Oxford
- Imperial College London
- University of Birmingham
- University of Glasgow
- ; King's College London
- ; Queen Mary University of London
- Oxford Brookes University
- St George's University of London
- Swansea University
- Cardiff University
- University of Bath
- University of Lincoln
- University of Sheffield
- ; CRUK Scotland Institute
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; The University of Manchester
- ; University of Copenhagen
- ; University of Exeter
- ; University of Kent
- ; University of Reading
- ; University of Southern Denmark
- Birmingham City University
- City University London
- King’s College London (University of London)
- Lancaster University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nottingham Trent University
- Royal College of Art
- Royal Holloway
- Sheffield Hallam University
- UNIVERSITY OF SOUTHAMPTON
- University of Bristol
- University of Leicester
- University of Manchester
- University of Reading
- University of West London
- 44 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Chemistry
- Economics
- Mathematics
- Materials Science
- Humanities
- Linguistics
- Science
- Psychology
- Engineering
- Social Sciences
- Arts and Literature
- Law
- Earth Sciences
- Physics
- Environment
- Business
- Education
- Electrical Engineering
- Sports and Recreation
- Philosophy
- 13 more »
- « less
-
computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying statistical and machine learning to real life problems, using a
-
tools are need during the development of new imaging and sensing systems. With the rapid deployment of data-driven methods, repliable uncertainty quantification remains a big challenge that requires
-
experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and
-
. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
-
(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
-
theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
-
also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
-
didactic skills High written and oral expression skills Computer user skills Excellent command of English Ability to work in a team We also expect: Teaching experience / experience with e-learning Experience
-
machine learning, computer vision, human-computer interaction, or similar relevant areas. Experience in research or development on bias, interpretability, and/or privacy in machine learning/AI is necessary
-
The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty