Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of London
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Cambridge
- Durham University
- Imperial College London
- King's College London
- Medical Research Council
- ; Technical University of Denmark
- ; The Francis Crick Institute
- ; University of Oxford
- City University London
- Nature Careers
- Nottingham Trent University
- Royal College of Art
- University of Bath
- University of Manchester
- University of Nottingham
- University of Reading
- University of West London
- 14 more »
- « less
-
Field
-
to science. This is the first large-scale study of its kind, and your results will establish a legacy of scientists working with funding councils to defend their research. Cutting-edge machine learning
-
to: Use gut models to explore new microbial approaches associated with cognitive function and gut health in military personnel Develop new probiotic microorganisms and synbiotic variants, and Evaluate (in
-
-electron Schrödinger equation for fermions and bosons with high accuracy and on the application of these methods to problems in the physics of oxides, semiconductors and their surfaces. Machine learning
-
should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
-
bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
-
of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
-
ERC-funded postdoctoral fellow in theoretical developmental biology, using tools from applied mathematics, biophysics, and machine learning A talented and creative researcher is sought to take part
-
the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
-
. 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
-
and motivated candidates for a postdoctoral positions working on cutting-edge research at the intersection of Machine Learning, Privacy-Enhancing Technologies, and Public Interest Technology. We