135 affective-computing-"https:" "https:" "https:" "UCL" positions at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
01/04/2026. To design and synthesise precursors and molecular probes for imaging and molecular radiotherapy studies. To analyse these probes as part of the chemistry development programme by methods
-
London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
-
accuracy Excellent organisational and planning skills, to build and maintain systems and processes Excellent computer skills with an understanding and demonstrable experience of Microsoft Office, Excel
-
at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
-
of neuro-symbolic Computational Logic and Argumentation. The position offers an exciting opportunity for conducting internationally leading and impactful research in AI. The Research Assistant/Associate will
-
to the success of a top‑ranked computing department. A supportive, collaborative and diverse working environment aligned with Imperial’s values of Respect, Collaboration, Excellence, Integrity and Innovation
-
computer literate, (e.g. Microsoft Word, Excel, Outlook) and experience of a computerised diary/booking system (ideally Kx) required Have excellent interpersonal and communication skills Tact and diplomacy
-
to maximise their impact. You will also play a key role in supporting the delivery of PPIEP activities within the Theme and report on progress against the BRC PPIEP and EDI Strategy. You will build and maintain
-
. The Events and Operations Officer will be central to CADI’s day-to-day effectiveness, providing the operational and logistical foundation that enables the Centre to deliver its ambitious programme of AI
-
will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and