Sort by
Refine Your Search
-
the successful delivery of the University Digital Strategic Plan Manage efficient and effective allocation of internal resources, supported by a network of delivery partners and suppliers Collaborate closely with
-
discipline, as well as experience of working in a cleanroom environment. Be an effective team member who communicates effectively with others, including stakeholders external to the School of Engineering. Plan
-
, policies, and awareness programs. Identify, analyse, and evaluate information risks across various projects and systems. Communicate the causes, likelihood, and impacts of information risks to stakeholders
-
the public health/epidemiological aspects of an applied research study. Experience of the NIHR’s Public Health Research (PHR) Programme and an understanding of public health research in non-NHS settings would
-
. Their interdisciplinary research program is dedicated to the use of protein engineering to develop novel antibody-based therapeutics that has led to several therapeutics that are currently approved for clinical use or in
-
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
-
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
-
: Manage and maintain advanced fibre fabrication equipment and cleanroom processes. Lead and develop a team of technical staff, ensuring high-quality support for research projects. Plan and implement major
-
will evolve into an increasingly independent role, so you should possess the ability to self-organise and plan your schedule of work to align with the larger team goals. To informally discuss this
-
capacity building programme that will help to ensure that the UK remains at the forefront of digital skills and AI. Work spans across three project themes: 1. Large language models for (survey) research and