95 computational "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
delivery of the knowledge exchange and impact programme, including contributing to the design, organisation, and delivery of meetings, workshops and events with non-academic stakeholders. ● Contributing
-
education. A commitment to fresh thinking, flexibility and adaptability in approach are more essential to this role. This post is full time. Based in the Sheffield University Management School (https
-
Management School (https://www.sheffield.ac.uk/management ), you will join a vibrant community of teachers and researchers building the discipline of Accounting. Applicants should provide a CV and a summary of
-
thinking, flexibility and adaptability in approach are more essential to this role. This post is full time. Based in the Sheffield University Management School (https://www.sheffield.ac.uk/management ), you
-
and immunity. Work as part of a multidisciplinary team across human infection, in vivo and cell models, analytical and computational theoretical models. Work with other members of the team, design
-
on the Finance department can be found at the following web link: http://www.sheffield.ac.uk/finance Main duties and responsibilities Act as a recognised source of financial support and advice to Principal
-
Overview We are seeking an experienced researcher to develop decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international research programme
-
interdisciplinary programme at the University of Sheffield investigating how RNA regulation controls innate immune responses during inflammation and infection. You will have a PhD in an appropriate subject and a
-
Overview Do you have a passion for immunology, RNA and gene-regulation? We are seeking an outstanding Postdoctoral Researcher to join an ambitious interdisciplinary programme at the University
-
research programme funded by the Engineering and Physical Sciences Research Council (EPSRC). The programme is developing machine intelligence for teams of autonomous robots working in buried water