Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Part-time (0.6fte+) or Full-Time. The University of Southampton invites applications for a Lecturer (A or B, level 4 or 5) from candidates with interests in AI, quantitative research methods
-
delivery of our innovative NxtGen Researcher Programme and help establish the NxtGen Researcher Academy. This multi-disciplinary position focuses on engaging young people in health research, combining
-
, faster, longer? Future of Healthful Work – a large scale interdisciplinary program we’re leading asks the question “what if work were healthful from the outset, rather than being something from which we
-
Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
-
Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating
-
Applications are invited for a Research Fellow position specialising in Edge Computing for AI at the National Edge AI Hub. The position is full-time for a duration until 16/06/2027 with potential
-
). Adhering to agreed service principles and maintaining security and compliance is also a crucial part of the role. A proven track record in delivering onsite support including within the computing labs is key
-
address this, you will adopt a novel "top-down" strategy, directly opposed to the current materials discovery methods, to accelerate materials development for creep-fatigue environments. Specifically, you
-
, you will be based in the Aerodynamics and Flight Mechanics research group comprised of experts in theoretical, computational and experimental methods and our aim is to provide an environment in which
-
conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences