Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Oxford
- Durham University
- University of London
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- University of Glasgow
- KINGS COLLEGE LONDON
- University of Cambridge
- DURHAM UNIVERSITY
- Heriot Watt University
- University of Birmingham
- University of Liverpool
- Cardiff University
- King's College London
- ; Technical University of Denmark
- ; University of Cambridge
- Imperial College London
- Nature Careers
- University of Sheffield
- ; CRUK Scotland Institute
- ; University of Copenhagen
- Birmingham City University
- City University London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Manchester Metropolitan University
- Royal College of Art
- St George's University of London
- Swansea University
- 19 more »
- « less
-
Field
-
embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form. Benefits We offer
-
problems and willingness to work flexibly within a team to achieve the project demands are needed. Experience with flow cytometry, primary cell culture, molecular biology, animal work, metabolic
-
. The candidate should have excellent grades from the bachelor and master level courses in mathematics and mechanics as well as appropriate skills in programming and finite element analysis . Proficiency in
-
build your scientific career) You provide training, consultation and technical support to fellow researchers, master and doctoral students You hold courses independently within the scope of the provisions
-
and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
-
original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation
-
achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
-
connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
-
Discovery Award to proofread, annotate, and analyse the first mosquito brain connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level
-
the tree of life. The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a range of phylogenomic methods to understand their ancestry. These analyses