Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Durham University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Munich
- University of Glasgow
- University of New South Wales
- ;
- Duke University
- Heidelberg University
- Leibniz
- Max Planck Institute for Extraterrestrial Physics, Garching
- Ohio University
- Rutgers University
- Texas A&M AgriLife
- U.S. Department of Energy (DOE)
- University of California, San Diego
- University of Copenhagen
- University of London
- University of Oxford
- University of Southern Denmark
- University of Southern Mississippi
- 10 more »
- « less
-
Field
-
. We will apply a multi-disciplinary Team Science approach to deliver fundamental new insights into the role of S-acylation in cell physiology. The successful candidate will be embedded in a structural
-
tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI
-
administrative and data quality assessment tasks related to study administration. Responsibilities include, but are not limited to, tracking medical record release form and medical record receipt status, data
-
approaches to understand the interconnections between nutrition, health, food systems, and society. Our lab has pioneered genomics techniques that objectively track dietary intake across hundreds of plant and
-
. The Department operates a Statistics and Mathematics Consultancy Unit, which provides a focus for external liaison with outside and commercial organisations. Clients include local companies, multi-nationals, and
-
policy reviews, to build a multi-disciplinary and multi-country understanding of safeguarding responses to risks beyond the home. They will convert knowledge generated by staff across the GCCS
-
research laboratory setting Highly self-motivated with the ability to work independently and/or collaboratively to achieve project objectives and milestones Preferred Qualifications An excellent track
-
electrochemical gas sensor (PEGS) based on fast Li-ion conductors. The fast ion-conduction characteristics of Li-based materials unlock the possibilities of cost-effective, low-power, multi-sensing arrays with a