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mathematics. You will undertake a single, ambitious research project: to begin the formalisation of the local Langlands correspondence for GL₂(F) in the Lean interactive theorem prover by leveraging AI agents
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embedded decision-makers who interpret health risks through multiple, often competing, social identities. Traditional epidemic models offer mathematical precision but fail when confronted with this reality
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quantum channel, post-quantum mathematics, and traditional classical security, into a single, unified encryption key. Crucially, the system is expected to work with the infrastructure organisations already
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Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX
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awareness These funded PhD scholarships are suitable for students with a background in Computer Science, Mathematics, Engineering and Cognitive Science. Students with interests in machine learning, deep
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fraction of the data we collect. In this project, we will therefore seek to use advanced mathematical and machine learning approaches to identify hidden information within cardiac electrical signals that is
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on solitary waves and on analysing their stability. We will also extend the study to related configurations, such as ferrofluid jets under vorticity and swirl. The mathematical and numerical techniques
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sleep technology that assesses the brain activity at home and explore why some people benefit more than others using cutting edge mathematical modelling. These studentships are funded through GW4 BioMed3
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, technology, engineering, mathematics and medicine (STEM). Applications will be accepted until 31 May 2024 but the position will be filled as soon as an appropriate candidate is found. Funding notes
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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories across Europe with 16 doctoral students at the interface of artificial intelligence and mass...