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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the GHG budgets
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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CoDesign For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make
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full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from this competition
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papers for context relating to ongoing experiments: Bauer et al 2023 J. Neural Eng: https://doi.org/10.1088/1741-2552/acd0d7 Ning et al. 2026 bioRxiv: https://doi.org/10.64898/2026.04.21.719912 Mohanty et
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of the fundamentals of deep learning and experience in creating datasets for training AI models would be a valuable asset. Internal Application form(s) needed WA.1220-5-2026-ENG.pdf English (577.98 KB - PDF) Download
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, and machine learning; and the development of ecological indicators for environmental monitoring in the Campos and Santos Basins, Brazil. Mandatory requirements Applications from people with training in