Sort by
Refine Your Search
-
Listed
-
Employer
- University of Birmingham
- ;
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nature Careers
- UNIVERSITY OF MELBOURNE
- CRANFIELD UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- Imperial College London
- KINGS COLLEGE LONDON
- Queen's University Belfast
- UNIVERSITY OF SURREY
- University of London
- Birmingham City University
- Brunel University
- City University London
- Cranfield University
- King's College London
- Kingston University
- QUEENS UNIVERSITY BELFAST
- Sheffield Hallam University
- The University of Southampton
- UNIVERSITY OF GREENWICH
- University College London
- University of Bristol
- University of Cambridge
- University of Greenwich
- University of Leeds
- University of Leicester
- University of Stirling
- University of Surrey
- 21 more »
- « less
-
Field
-
-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
-
microbial genetics and sequencing High level analytical capability Ability to communicate complex information clearly Ability to contribute to developing new protocols and techniques Ability to assess
-
data visualisation methods; training in the application of LLM-based analytical methods for both text and image). Experience, expertise and demonstrated success in delivering complex research projects
-
immune responses Substantial experience in using flow cytometry to analyse in vivo immune responses High level analytical capability Ability to communicate complex information clearly Ability to contribute
-
UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
-
for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
-
. The successful candidate will work in close association with teams consisting of laboratory-based and clinical researchers to deliver the project. Experience with analysis of transcriptomic data is essential. Role
-
the field of cancer and trials). High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and use resources effectively. Ability
-
for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but demonstrable
-
or similar qualitative data analysis software (desirable) Competence in using Microsoft Office and Outlook Ability to communicate complex information clearly and effectively High-level analytical and problem