392 web-programmer-developer "https:" "https:" "https:" "https:" "Newcastle University" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
skeletal muscle metabolism and how exercise affects it. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division
-
experts; and develop the team. Experience leading implementation of ESE policy and plans, expertise in curriculum and student voice, as well the ability to manage complexity and problem solve
-
fixed-term period. This key role will help deliver our comprehensive privacy enhancement programme as we modernise our privacy management framework in response to evolving legislative requirements
-
programmes, teachers’ conferences and student ambassador schemes. You will frequently travel to schools and colleges across the UK, some of which are difficult to get to via public transport; therefore, you
-
offers an exciting opportunity to collaborate with NTEC’s internationally recognised academic team on various projects focused on the development, design, and modeling of future paving materials
-
Applications are invited for a Research Associate/Fellow position to work on a project involving the use of additive manufacturing to develop a release system for fungal biopesticides for outdoor
-
thorough understanding of developing and implementing effective communications and engagement activities to diverse audiences? If so, the University of Nottingham has a fantastic opportunity for you to join
-
placement within Siemens Digital Industry Software. Project Overview The project focuses on developing and integrating ML techniques to enhance wall treatments for under-resolved boundary layers in
-
research building on previous research from the Silvi research group. The research will focus on the development of novel reactions based on photoredox-radical chemistry. The new radical processes will be
-
the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density