321 parallel-and-distributed-computing uni jobs at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
to learn and develop new experimental, computational and wet-lab techniques and approaches. • Identify genetic reagents and design experiments that test circuit function. • Construct
-
the Faculty’s programme of access and outreach initiatives; represent the Faculty at internal and external events (including presenting at those events); collaborate with colleagues across the collegiate
-
. The role includes leading statistical work for two major NIHR-funded initiatives: the Oxford BRC “Big Infection Diagnostics” programme and the Health Protection Research Unit on Antimicrobial Resistance
-
for the Bodleian Libraries by supporting the delivery, management and growth of the Friends and Patrons programme, which is at the heart of the Libraries’ supporter activity. What We Offer Working at the University
-
working would be considered (minimum of 4 days, 30 hours per week, 0.8 FTE). About You To be considered for this position you should have a degree in a computing or scientific subject and experience in data
-
for collaborating sites and prepare trial specific instructions. You will also oversee data entry on the computer database (assisted by a Data Entry Clerk) and perform regular systematic checks of information held
-
Archaeometry Editorial Coordinator About the role We are seeking a proactive and detail-oriented Editorial Coordinator to support the editorial operations of Archaeometry, a leading journal in the field of scientific archaeology. Based within the Research Laboratory for Archaeology and the...
-
assist with the department’s programme of academic summer visitors. Supported by experienced museum staff and working in a talented team, you will acquire the key skills of modern curatorship. This is a
-
computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
-
or experimental methods, applied statistics, or computational social science. The position is open to candidates from relevant social science disciplines including political science, sociology, economics and public