Sort by
Refine Your Search
-
/person/104585 ) at University College London, with the added possibility of establishing new collaboration with other faculty inside the department (https://www.psy.miami.edu/people/faculty/faculty-by
-
Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered social justice and improved lives through
-
University of London is looking to recruit a Research Assistant or Postdoctoral Research Assistant in AI for Music. The Centre for Digital Music has been awarded an Innovate UK grant, collaborating with a pro
-
psychology. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered social justice and
-
discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
-
of Dr Cristina Moreno-Almeida (SLLF), at Queen Mary University of London, in order to fulfil the objectives of the research project. This is a fixed-term and full-time post available due to research grant
-
to research funding. The salary will be £40,223 per annum, inclusive of London Allowance. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
-
access to domain experts in partnering international institutions (University College London, Institute for Advanced Architecture of Catalonia Barcelona, the Royal Danish Academy of Fine Arts Copenhagen
-
strong quantitative component. Ability to programme in a suitable language, such as R (preferred), Python, C/C++ or Visual Basic is essential. Further particulars are included in the job description. The
-
on before it becomes widespread within a population. The successful applicant will develop a Large Language Model (LLM)-based tool for predicting mutations causing resistance trained on features derived from