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Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek. According to the requirements of this funding program, candidates should
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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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of scaling models, business model development, and funding strategies in education. Knowledge and understanding of policy, practices, and procedures that are relevant to the role, to include knowledge and
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: ‘Understanding how land-use-climate interactions restructure terrestrial biodiversity to develop a new generation of global biodiversity models’, commencing in early Autumn 2025. This Research Project is being
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modelling, and real-time graphics programming. Proficiency in programming languages such as C++, C#, Python, or JavaScript. Strong understanding of UX/UI principles for immersive experiences. Experience in
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electronic sensors, fitting it to physiochemical models to understand NP and surface interactions, and perform optimisations for sensing purposes; Perform sample preparation and isolation of NPs; Design and
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advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers an excellent opportunity to further