137 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Liverpool
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
constantly changing programme. We are particularly interested in those with sound engineering experience but welcome applications from all of the above skillsets. This role is ad hoc and shift based, allocated
-
working to reduce health inequalities across the region. Reporting to the Programme Manager and working closely with the ARC Director and senior leadership team, you will lead on governance, operational
-
the research group of Professor Alex Cowan in the Department of Chemistry and the Stephenson Institute for Renewable Energy you will create an integrated platform with comprehensive data logging, enabling
-
work alongside a large, multi-disciplinary and cross Faculty team, across multiple national and international organisations. The post is available from 1 March 2026 until 31 December 2027. Commitment
-
Hall, Dr David Martí-Pete and Dr Daniel Meyer. This research group is part of the Pure Mathematics section at the Department of Mathematical Sciences of the University of Liverpool. The members
-
research practice across the University, supporting delivery against BRITE¿s programme objectives and impact goals. You should have an undergraduate level degree in a relevant life sciences, medical
-
stock operations. This includes managing recruitment materials such as prospectuses and brochures, maintaining accurate stock records, coordinating dispatch and international freight, and working closely
-
of a multidisciplinary team to ensure completeness, accuracy and internal consistency of trial data being collected for various trials conducted by the clinical trials unit. The Supervising Data
-
We are seeking an experienced GPhC registered technician for to support the new University of Liverpool Master of Pharmacy programme. Commitment to Diversity The University of Liverpool is committed
-
Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials