113 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" positions at University of Leicester
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
About the role As Back End Developer you will be working alongside a multi-skilled Digital Engagement team, with expertise across: Front end development UX and UI design Data analysis CMS governance
-
About the role We are looking for a skilled Research Software Engineer to join our team at the School of Computing and Mathematical Sciences. This role is part of a UKRI-funded project
-
into the implementation of interventions to improve care for people with multiple long-term conditions in primary care, funded by the NIHR Applied Research Collaboration (ARC) East Midlands. The post will involve
-
support to the NIHR Global Health Research Centre for Multiple Long-Term Conditions, working with our partnering organisations across the UK, India and Nepal to improve health outcomes worldwide. In
-
, electrophysiology, and molecular biology, and be able to work both independently and collaboratively across multiple sites About you The ideal candidate will hold (or be close to obtaining) a PhD in a relevant life
-
-of-the-art mass spectrometers, most recently a brand new timsTOF HT platform for high throughput plasma proteomics and multiple automation platforms such as the Andrew+ and Bravo AssayMAP. You will work
-
organised, communicates well and enjoys the challenge of managing to fit multiple commitments in any given day for a very busy Director. You will be a skilled and insightful individual, ideally with
-
be confident managing multiple priorities, leading a team, and using systems to support bookings, reporting, and service delivery. Your communication skills will be key, as you’ll liaise with students
-
responsible for working with the EpRG to manage multiple studies within the research portfolio. These will include LifeMap QUEST, an NIHR i4i-funded clinical study to confirm the safety and tolerability of a
-
: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification