Sort by
Refine Your Search
-
Employer
- University of Cambridge;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Newcastle
- Imperial College London
- Imperial College London;
- Liverpool John Moores University
- Newcastle University;
- Northumbria University
- Sheffield Hallam University
- Sheffield Hallam University;
- The University of Edinburgh;
- University of Liverpool
- University of London
- 5 more »
- « less
-
Field
-
, profilometry and AFM. You should also be familiar with theory of plasma discharges and have the background required to extract plasma parameters from plasma diagnostics data and with methods to perform time
-
-resolved mass spectroscopy and should be versed in materials characterisation methods including XRD, nanoindentation, profilometry and AFM. You should also be familiar with theory of plasma discharges and
-
for academic, public and stakeholder audiences. Demonstrated knowledge of concepts and social theory as it relates to racism, racialisation and inequality in health and care settings. Proven ability to manage
-
of unpaid carers, concepts and social theory as it relates to racism, racialisation and inequality in health and care settings. Proven ability to manage time effectively and organise workload across competing
-
epidemiology and statistical and mathematical modelling For appointment at grade 7: A4 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a
-
Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical
-
backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
-
applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
-
the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline with strong quantitative components
-
School/Department Computer Science and Mathematics Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our