In this project, you will examine how advice from Large Language Models (LLMs) affects user trust and behaviour in low- and high-risk contexts. Read more
The University of York is embarking on ground-breaking research that focuses on data-centric engineering, digital twins, and AI, revolutionizing the way systems are designed and optimized through data. Read more
This programme offers the chance to undertake a substantial piece of work that is worthy of publication and which makes an original contribution to the fields of neuroaesthetics and psychological and behavioural science in the BRAINS Lab at Kingston University. Read more
Improvements in computer vision, and deep learning advancements, along with the introduction of smart devices and powerful computers, have stimulated research interest in the field of real-time scene analysis. Read more
This SCDT will provide an immersive opportunity for PhD students with a world-class interdisciplinary research and training programme to bridge the net-zero design and construction skills gap whilst providing specialist skills in human-centric smart building design and digitisation for optimised health and resilience. Read more
The PhD project prepares students to become interdisciplinary scholars who can apply a variety of methodological approaches at the intersection of technology, human behaviour, and design. Read more
Within evolutionary biology, Bateman’s principles have provided the cornerstone of theories about sex differences in reproductive strategies in the animal kingdom. Read more
The need to understand and manage human-primate sympatry is growing in tandem with human population expansion and urbanization across primate range countries worldwide (Humle & Hill, 2016). Read more
The Schools of Sport, Exercise and Rehabilitation Science & Computer Science at The University of Birmingham invites applications for a competitive PhD studentship funded by the Economic and Social Research Council (ESRC). Read more
The perceptual saliency of distracting non-target information presents a major challenge for attention selection processes, which are required to bias selection away from distracting, non-target items. Read more
This PhD project investigates the development of trustworthy Artificial Intelligence (AI) systems in multi-agent environments, where multiple intelligent agents interact, learn, and adapt in complex, dynamic settings. Read more
Robotic intelligence have greatly advanced over the last few decades along with the development of latest sensing technologies and quality improvement of robot hardware. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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