Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Newcastle
- University of Oxford
- Imperial College London
- Heriot Watt University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Liverpool
- ; London School of Economics and Political Science
- Durham University
- KINGS COLLEGE LONDON
- University of Nottingham
- University of Sheffield
- 3 more »
- « less
-
Field
-
research. Knowledge of and practical experience with participatory action research in diverse areas of health inequity Strong qualitative research skills (e.g. semi-structured interviews, ethnographic
-
: Experience of data-driven modelling and optimization-based analysis. Knowledge of fluid mechanics. Knowledge of control theory and optimization. Knowledge of partial differential equations. Have a strong
-
, etc The Person Knowledge, Skills and Experience Essential Proven expertise in the areas of security, formal methods, program analysis and software engineering Experienced in programming and tool
-
such as medieval studies, book history, or digital humanities. You will have excellent reading knowledge of Latin and expertise in manuscript studies, including palaeographical and codicological skills
-
to meet deadlines Knowledge of current animal health welfare and topical veterinary issues Qualifications: A degree in veterinary medicine or in a relevant scientific life science discipline that is
-
techniques, data analysis with desirable knowledge of material characterisation, rheology and imaging. Scientific interest, dedication to research and career goal to work in physical science research
-
of the project(s) Collect, analyse and interpret research data and draw conclusions on the outcomes Mentor/co-supervise less experienced researchers/students in the group The Person Knowledge, Skills and
-
a PhD/DPhil (or have submitted a thesis) in a field such as medieval studies, book history, or digital humanities. You will have excellent reading knowledge of Latin and expertise in manuscript
-
novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
-
• To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration • To plan and manage own research