80 parallel-processing-bioinformatics uni jobs at University of Bristol in United Kingdom
Sort by
Refine Your Search
-
high quality service to a range of stakeholders at all levels. Good computer skills with experience working with Excel, Word and MS Outlook is strongly preferred. The University of Bristol offers a
-
solving problems and taking initiative. Recognise and resolve simple to more complex problems, e.g. fault diagnosis, process improvement. Maintaining stocks of lab materials and consumables, as
-
supercomputer in the UK and amongst the most powerful in Europe. The AI Supercomputing team owns the entire process of developing and operating the centre’s compute and software infrastructure, which includes
-
, tenant conflicts, disrepair, poor housing conditions and other breaches of tenancy and licence agreements. We support students to understand and navigate various processes, for example formal complaints
-
contact for academic staff, students, central services, and external partners. Continuously seek improvements in processes to enhance research support and delivery. We are looking for someone who thrives in
-
interpretation of numerical data sets Experience of test article design Excellent oral and written communication skills Are a self-starter and proactive; able to define & produce new processes & procedures
-
wider teams, to support demand offering support and technical guidance on the build and deployment process. Organise own workload efficiently and plan delivery schedules to ensure that device build
-
postgraduate student administration and education processes. Preferred working pattern: Monday 09:00 - 17:00 (7 hours), Tuesday 09:00-12:30 (3.5 hours), Friday 09:00 - 17:00 (7 hours) (Total - 17.5 hours) Part
-
journals and of supporting the commissioning and launching of new journals to join our friendly team. You will have specialist knowledge of journal publishing processes and systems, ethical issues, open
-
of Research Fellow at the Met Office Hadley Centre. This will involve running and developing climate models and rapid-response tools and emulators. All work is theoretical/computer based and no real-world