40 parallel-processing-bioinformatics-"Multiple" positions at University of Liverpool
Sort by
Refine Your Search
-
experimental design, bioinformatics, or translational research is advantageous. This post is available until 30 June 2026 in the first instance. If you are still awaiting your PhD to be awarded you will be
-
. This is an incredibly exciting time to join the University of Liverpool Libraries, Museums and Galleries (LMG). LMG is home to diverse and significant collections and provides services across multiple
-
of new materials for specific properties (e.g., for batteries), discovering entirely uncharted chemistry (e.g., multiple anion compounds), and the development of new methods that accelerate the discovery
-
relationship with historical slavery, and experience of working with community organisations as a practitioner or facilitator. You will be able to work and manage projects with multiple strands and stakeholders
-
ownership, accountability, and improved security across our systems, infrastructure, and processes. Key Responsibilities: -Engage with staff and students to assess needs, improve information handling, and
-
recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
-
processes student data ¿ and is integrated with a number of satellite systems which are also supported by the team. Reporting to the Student Systems and Services Team Leader, the Principal Programmer Analyst
-
on all construction and maintenance related projects overseeing the process of projects being managed by the University¿s approved consultants and contractors, with a wide range of value bands. You will
-
records system (Banner) stores and processes this data ¿ and is integrated with a number of satellite systems which are also supported by the team. Reporting to the Student Systems and Services Manager, the
-
computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track