Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, computational modelling, and in vivo physiology—to dissect cholesterol‑mediated modulation of key receptors like Glucagon receptor and GLP‑1R, with direct relevance to metabolic disease therapeutics. The Siebold
-
basis • Collaboration with other teams within the program for delivering inter-disciplinary tasks • Prepare and host Innovation Management Seminars x2 • Chairing periodic Meetings of Innovation Management
-
role within a dynamic and growing institution, offering a rare opportunity to shape and develop the College’s alumni relations and engagement programme from its foundation. The College seeks a proactive
-
-cycle, supporting multiple Sprint teams, the Management group and Executive Board and being responsible for administrative and operational processes that underpin the success of the programme. The
-
to enable the delivery of objectives. • Strong oral, written and electronic communication skills. • Ability to plan workload and deliver on projects. • Excellent computer skills, including Word and Excel
-
We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
-
person Strong organisational skills and attention to detail • Good computer literacy (including Word and Excel) The ability to manage competing tasks with confidence and care Sponsorship and Right to Work
-
computational discipline with close links to epidemiology, have experience of working as a research assistant on scientometric review and experience of using the UK Biobank. This is post is part-time (0.25 FTE
-
181098 Data Collection and Processing Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 3: Salary in the range of £26,948-£27,233 per annum. This is a full time, fixed term position for 18 months in the first instance. We are looking for a...
-
audiences and an ability to work well independently using own initiative, as well as part of a team. Experience in a variety of advanced microscopy techniques and computational biology expertise are desired