188 parallel-computing-numerical-methods-"Prof" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
which interact extensively as part of the research programmes. This is an excellent career and professional network development opportunity for the successful candidates. Prof John Heap is Principal
-
partners. The ability to work in a team, lead both internally and externally, and interact & collaborate actively and professionally with industrial partners is essential. Reporting to Prof Chris Gerada
-
We are looking for a researcher, whose expertise lies in numerical methods for dynamical systems, to work with Dr Rachel Nicks and Professor Stephen Coombes on a Leverhulme Trust - funded project
-
Programme. The NBRC is a partnership between Nottingham University Hospitals NHS Trust and the University of Nottingham funded by National Institute for Health and Care Research (NIHR). The mission
-
, Scotland, and Wales). Using innovative methods, the study will generate crucial knowledge about how supervision is experienced, practiced and governed, and the socio-political conditions that influence its
-
for evidence. You will work across a range of projects utilising quantitative and qualitative methods. Depending on the skills of the appointee this may include health economics. You will have experience in
-
offer their own ideas. Applicants who are skilled and knowledgeable in the areas of safety critical engineering research applied to multiphase thermofluids, materials and mechanical testing methods, and
-
printing etc Experimental design, method development, testing and implementation Materials testing and characterisation. Your formal academic training for the Level 3 Apprenticeship Standard programme will
-
undergraduate teaching as part of the undergraduate Science Foundation programme in the School of Life Sciences. The primary purpose of the role will be to undertake teaching on the biology, chemistry and maths
-
colleagues within the School and beyond, in projects at the interface of statistics, numerical analysis, scientific computation and the mathematics of machine learning. We welcome applications from excellent