91 parallel-computing-numerical-methods-"Prof" positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Application procedure This post is suitable for psychologists or data managers with a strong background in quantitative research methods and statistics and is available now. For additional information/informal
-
full programme of events, and access to a number of University employee-discount schemes. Further information about working at the University of Southampton can be found on our web site: https
-
methods is also desired. In our study we are investigating whether it is possible to predict how many nurses are needed on hospital wards from routinely collected data. You will have an interest in
-
to Amsterdam. We welcome applicants committed to teaching across these programmes, including on core introductory modules, research methods training modules and residential fieldtrips. We welcome applicants
-
trials, with strengths in cancer immunology, tumour microenvironment, lymphoid biology, surgery, and clinical informatics. Our success led to the establishment of the Centre for Cancer Immunology (CCI) in
-
for impactful research in the economics of migration, networks, education, crime, and inequality. We are also leaders in developing and applying cutting-edge macroeconomic, experimental, and econometric methods
-
you will be entitled to 20 days annual leave per year (pro rata) plus University Closure Days, a contributory pension scheme and a structured training programme are also some of the benefits
-
approaches and an understanding of a range of research methods, qualitative and quantitative typologies, and feedback mechanisms. They will be adept at working independently, whilst also being able
-
an ambitious independent research programme. Potential to raise external research funding from UK research councils, EU, charities and industry. An ability to inspire and support students and colleagues
-
prioritise work to meet deadlines and quality standards. Specific knowledge of additive manufacturing, mechanical characterisation, full-field experimental mechanics, volumetric imaging (e.g. X-ray computed