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international surveys (7th in Europe and 1st in the Nordics (NTU 2023); and 88th worldwide in Times Higher Education subject ranking 2025). We are now looking for a Doctoral Researcher in interactive AI to join
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and use innovative approaches to identify and characterise the chemical and physical interactions between cells that result in inhibition of detrimental fungi. This bioprospecting project will utilise
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under the combined themes of human-computer interaction and critical
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This 3-year PhD position offers an exciting opportunity to join the STRIPS Project (Swansea Tata Research and Innovation Prosperity Partnership for Printed Perovskite PV). As part of the STRIPS project, which encompasses 4-6 PhD studentships across 5 research groups, you will be an integral part...
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the combined themes of human-computer interaction and critical computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots
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effects on cell migration, invasion and angiogenesis. Interestingly, there are synergistic interactions between ITCs and anticancer drugs such as sorafenib and dasatinib (1,2). Breast cancer is one
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, this inhibits bacterial growth—especially in already temperature-stressed bacteria. These interacting stressors can amplify ecological impacts. To generalize our findings, we propose experiments testing
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to a breakdown in ecosystem function, including impacting the integrity and complexity of trophic interactions (e.g. food webs). Cumbria Connect aims to recreate woodland pasture ecosystems across large
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investigation will be zero-knowledge succint non-interactive argument of knowledge-- ZkSNARK. Subsequently, we will formalise the front-end (R1CS) and back-end (Groth16) of ZkSNARK in the Coq theorem prover and