83 parallel-computing-numerical-methods positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, biochemistry, sample processing and have a proactive approach to learning methods like Raman spectroscopey. You are highly organised and driven, you will demonstrate initiative and problem-solving skills. You
-
are we looking for? We are looking for candidates with a keen interest in the work we do and are highly numerate. We appreciate this is quite a unique finance role and we are able to offer training
-
resources of a new element of the curriculum and will inform the revalidation project team about the development and use of ionof similar/further roles going forwards. On the BM5 programme, students study at
-
consistent approach to all of our products build a comprehensive knowledge base of user research and user-centred, evidence-based research methods and practice lead on user research activities, making
-
team, customer service skills across any industry could well be an advantage. The department uses multiple computer systems to deliver its services therefore experience using multiple systems is
-
. 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
-
Technician in ECS Teaching Electronics and Electrical Engineering Laboratories Electronics and Computer Science at the University of Southampton is the UK’s top School integrating Computer
-
of Southampton is hosting and other similar events. You will also engage with staff at the School of Electronics and Computer Science (ECS) from a range of ECS groups and ECS centres, who themselves have exciting
-
the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
-
or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental