Sort by
Refine Your Search
-
Employer
- University of Oxford
- University of Oxford;
- University of Liverpool
- Aston University
- Heriot Watt University
- King's College London
- UNIVERSITY OF VIENNA
- University of Newcastle
- AALTO UNIVERSITY
- Imperial College London
- Plymouth University
- The University of Edinburgh;
- Bournemouth University;
- Edge Hill University
- Leeds Beckett University;
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- The Rosalind Franklin Institute
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of Cambridge;
- University of Dundee
- University of East London
- University of Glasgow
- University of Hull;
- University of Lincoln
- University of Plymouth;
- University of York;
- 17 more »
- « less
-
Field
-
design. The role will combine experimental plasma science with numerical modelling to understand and improve nitrogen fixation pathways, alongside the use of analytical chemistry methods to quantify
-
complex information clearly and concisely, and to produce high-quality written scientific materials. The ideal candidate will also possess robust critical thinking and analytical problem-solving skills
-
directly related to the research project (e.g., hands on experience of pharmacokinetic simulation) High level of analytical and problem-solving capability Ability to communicate complex information with
-
CGIAR, including CIMMYT and National Agricultural Research Systems (NARES). In this role, you will develop an analytical decision-support tool that integrates quantitative genetic modelling, artificial
-
of random fields, the project seeks to illuminate complex analytic phenomena that remain out of reach under traditional deterministic frameworks. Reporting Structure The PDRA will be based in the Department
-
protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research
-
analytical procedures that are applied for proteome characterisation to a high degree of precision; able to analyse quantitative proteomic data with a degree of statistical rigour using common freely available
-
, pharmacology, genomics and multi-omics, as well as growing methods in advanced analytics of health data e.g. machine learning to improve human health with a focus on therapeutics. These posts will work alongside
-
analytics, and generative AI approaches for pandemic preparedness and response. You will collaborate with international partners across Europe and beyond, analyse complex health and surveillance data
-
-genome sequencing. You will possess strong analytical, problem-solving, and data interpretation skills, with the ability to work both independently and collaboratively within a multidisciplinary research