Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- UNIVERSITY OF VIENNA
- ;
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Durham University
- University of London
- Manchester Metropolitan University
- University of Cambridge
- Imperial College London
- University of Liverpool
- Heriot Watt University
- King's College London
- Kingston University
- Medical Research Council
- Nature Careers
- Royal College of Art
- Technical University of Denmark
- University of Bath
- University of Dundee;
- University of Manchester
- University of Reading
- 13 more »
- « less
-
Field
-
on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
-
for accelerated deployment of new medicines”, is funded by EPSRC and supported by 6 industry partners. The project is developing spatial tissue patterning methodologies to control cellular and matrix
-
with aligning and/or building laser setups Excellent command of written and spoken English and German Ability to work independently and collaboratively Publications in renowned, subject-relevant peer
-
by the EPSRC. The research will involve developing new controlled polymerization catalysts to deliver carbon dioxide-derived and bio-derived polymers. The catalysts, and processes, used to make
-
science, e.g Python & R. Desirable experience in notebooks, markdown and revision control software such as GIT & Jupyter. About the Institute/Project The Centre for Trauma Sciences research team
-
the lead of Prof Daniela Ferreira conducts research using controlled human challenge models to better understand mucosal immunity to respiratory pathogens and inform vaccine development. This position is
-
on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
-
manipulation tasks in a range of dynamic domains (industrial, service, domestic). This position will focus on using and developing learning-based perceptive approaches. You will develop a control framework
-
at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
-
of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene