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Multiscale modelling and statistical inference of tumour initiation and evolution in neuroblastoma School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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support informed decision making. Key Responsibilities: Partner closely with Pharmacy leadership and subject matter experts to understand business needs, prioritize initiatives, and develop data-driven
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-driven approaches; · contribute to the development of dynamic digital twins for subsurface monitoring, forecasting, and decision support; · collaborate with researchers and external stakeholders, publish
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-based recommendations that support strategic decision-making. A key focus of the role is developing business cases, evaluating operating model options, assessing organisational impacts, and helping define
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, and AI-driven computational biology. The successful candidate will develop and apply innovative computational methods to analyse large-scale multi-omic datasets, identify mutational patterns across
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deadline: 16 October 2026 Apply now Do you want to develop a foundation model for one of biology’s most complex ecosystems? By joining the European Innovation Council (EIC) Pathfinder project NOAH, you will
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approaches include data-driven parameter estimation for white-box models, the development of black-box models using machine learning methods (e.g., neural networks) and their combination (grey-box). The thesis
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developing the first observation-driven, AI-ready global river data infrastructure. Reporting to Professor Louise Slater, you will lead research combining large-scale Earth observation data, global hydrography
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/data-driven modelling; parameter identification and optimization; scientific software development. Importantly, direct experience with PVD is not mandatory. Candidates with strong backgrounds in