Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- UNIVERSITY OF SOUTHAMPTON
- Nature Careers
- UCL;
- University of Birmingham
- KINGS COLLEGE LONDON
- University of Nottingham
- Imperial College London
- King's College London
- Plymouth University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- ;
- Queen's University Belfast
- Queen's University Belfast;
- The University of Southampton
- University of Bath;
- University of Exeter
- University of Leeds;
- University of Oxford
- University of Plymouth;
- University of Southampton;
- ; University of Oxford
- CRANFIELD UNIVERSITY
- Cranfield University
- Cranfield University;
- EMBL-EBI - European Bioinformatics Institute
- Technical University of Denmark
- The University of Edinburgh;
- University of Glasgow
- University of Hertfordshire;
- University of Leeds
- University of London
- University of Manchester
- University of Stirling
- University of Stirling;
- 25 more »
- « less
-
Field
-
datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
-
EMBL-EBI - European Bioinformatics Institute | Hinxton, England | United Kingdom | about 2 months ago
of the Saez Rodriguez group is to acquire a functional understanding of the deregulation of signalling networks in disease and to apply this knowledge to develop novel therapeutics. We focus on cancer, auto
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
unique combined system using an optimised AF scanning procedure that integrates Raman measurements to analyse lymph node biopsies within 10 minutes and machine learning algorithms to deliver quantitative
-
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 at the Nottingham Breast
-
postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
-
Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
-
machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner
-
with physical objects/environments, and audio rather than video based AR can help enhance memory/learning Humanizing Computer Mediated Communication: Synthesizing co-presence - What does it mean to feel
-
a role model and fostering an inclusive working culture. Person Specification PhD, or close to completion, in a relevant, quantitative field, e.g. meteorology, machine learning, climate science