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psychology, political science or social-affective neuroscience completed or near completion prior to commencement of employment. The fellowship is available from September 1st 2025 or soon thereafter
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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2026. Awards for the 2026 intake will be finalised by July 2026. Supported Areas for START Health Sciences Diagnostic Radiography: Radiography involves the controlled use of ionising radiation
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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). The successful applicant will hold a PhD qualification and have experience in microbiology, genetic engineering and bioprocessing. Applications are also welcome from candidates currently pursuing or nearing
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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computational social science and computational mental health to capture fine-grained behavioral data, uncover underlying mechanisms, and design interventions that reduce harm, promote healthier information
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repositories, and ensure all data are securely stored and backed up. To prepare material for presentation in oral and poster formats and present findings to colleagues and at conferences. To draft publications
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vulnerabilities (including to security and privacy) that may be introduced when AI is used to process data from wearable devices such as ‘smart glasses’. The project involves academics from Universities
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knowledge and hands-on experience in data collection, secure data storage, and statistical analysis, adhering to open science practices and data protection regulations. Understanding of Randomised Controlled