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Field
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behavioural interventions in healthcare. However, current conversational AI systems remain limited in their ability to operate reliably across diverse clinical contexts. They often lack generalisability
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components. We focus on application-oriented methods that can operate in real time and are suitable for operating decentralized systems. We aim to enable the reliable, cost-efficient, resilient, and
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, proactive and able to work independently and reliably. Joining a new and dynamic team and working on highly topical issues Involvement in the research group's projects as well as national and international
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software. Pre, mid, and post-training, adaptation, and evaluation of large language models and foundation models for biological, genomic, and phylogenetic tasks. Reliable, reproducible, and auditable AI
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something has gone wrong, learn from failures and mispredictions, and recover to a stable and reliable operating state. Formal methods ensure that learning and recovery are performed with a provable quality
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technologies such as GNSS, the research investigates how communication signals themselves can simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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evaluation scenarios alongside academic research training. It would suit candidates interested in careers in academia or industry, especially in AI, sensing, autonomy, robotics, or embedded systems. Background
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environmental and climate change. The research will explore how environmental variables and emerging observation technologies can be combined to improve the long-term reliability, responsiveness, and usability
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communication, and clinical reliability. Leads development of a secure, patient-facing interface that allows patients to access, review, and audit their personalized videos. Collaborates with other staff and