Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- University of London
- University of Cambridge
- King's College London
- UNIVERSITY OF VIENNA
- University of Liverpool
- Heriot Watt University
- AALTO UNIVERSITY
- ; University of Cambridge
- Nature Careers
- University of Glasgow
- Imperial College London
- University of Birmingham
- Aston University
- University of Lincoln
- ; CRUK Scotland Institute
- ; Queen Mary University of London
- ; Royal Holloway, University of London
- ; University of Oxford
- ; Xi'an Jiaotong - Liverpool University
- Birmingham City University
- City University London
- DURHAM UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Manchester Metropolitan University
- Nottingham Trent University
- Oxford Brookes University
- Royal College of Art
- Swansea University
- University of Bath
- University of Bristol
- University of Manchester
- University of Nottingham
- University of West London
- 27 more »
- « less
-
Field
-
to study health and disease. Accordingly, almost all of contemporary biological science research is critically dependent on our ability to identify which genes are related in different species. The Kelly
-
base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
-
Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
-
, within the Diabetes, Metabolism, and Inflammation (DMI) Group at the School of Life and Environmental Sciences. You will be a highly motivated individual who is able to work independently and as part of a
-
of experimental demonstrators. Education, Qualifications and Experience Essential Criteria Applicants should hold a PhD in Physics or a relevant area of electrical engineering. (Applicants should have submitted
-
development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
-
development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
-
and PhD students) and openly share expertise knowledge with team members (e.g. Post-docs). Collaborate with other two post-docs working in this research programme, to deliver on project aims. Contribute
-
About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
-
Laboratory in the `Digital Innovation Facility¿ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant