95 computing-"https:"-"IDAEA-CSIC" "https:" "https:" positions at University of Manchester
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, subject to a business case. There will also be an opportunity for PhD studentship to be allocated upon appointment. Candidates will be enrolled on the New Academics' Programme (NAP), which is part of a
-
to an industrial research programme focused on understanding and improving the processing and performance of recycled fibre systems used in sustainable moulded fibre products. Working closely with Vernacare
-
research programme with real-world impact. Help build and support communities of practice, engage with patient partners, and contribute to knowledge mobilisation across the consortium. Work in a role that
-
research programme. This role offers an exciting opportunity to reveal the organising principles by which the physical and metabolic landscape orchestrates the behaviours of tissues over time. By revealing
-
healthcare programmes. Experience of curriculum development, assessment design or programme leadership. Teaching qualification or Fellowship of Advance HE. Relevant PhD or doctoral qualification. Evidence of
-
. The successful candidate will pursue a PhD while contributing to teaching and assessment on the BSc Psychology degree (further details about the programme can be found at: https://www.manchester.ac.uk/study
-
, collaborative development, agile methods, requirements translation, and software architecture, and contribute to the development of new postgraduate provision, including the MSc Software Engineering programme
-
aspects of informatics and advanced data analysis. You will be responsible for Conceptualise and design experiments Undertake and drive a research project with view to publication Help supervise other lab
-
Manchester to support the recently awarded EPSRC Prosperity Partnership: Centre for Robotic Autonomy in Demanding and Long-lasting Environments (CRADLE). CRADLE is a collaborative programme with Amentum
-
processing, cell and bacterial culture, and imaging workflows underpinning studies of disease progression and treatment response. This work sits within a wider programme applying tissue-engineered, in vivo