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Field
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validate data-driven methods that combine production data, predictive and state-estimation models, uncertainty-aware learning and constrained optimization to improve process consistency under process drift
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learning and experimental validation. Key Responsibilities: Develop AI-guided experimentation methods integrating data, predictive modelling, uncertainty and validation. Build structured materials/process
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-based filtering/refinement. • Develop single-cell foundation model components for robust zero-shot/few-shot cell embeddings, perturbation prediction, and interpretation of cancer and immune-cell states
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within EPSRC project EP/Y000196/1, developing and validating predictive models of SGT and MMT devices using appropriate techniques such as TCAD, compact modelling, surrogate modelling and physics-informed
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within EPSRC project EP/Y000196/1, developing and validating predictive models of SGT and MMT devices using appropriate techniques such as TCAD, compact modelling, surrogate modelling and physics-informed
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focuses on developing digital tumor models that integrate clinical and molecular data to predict treatment response, therapeutic resistance, disease progression, recurrence, toxicity, and survival. We work
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the statistical analysis of large, multidimensional agricultural, genomic or environmental datasets. Experience with mixed models, genomic prediction, crop simulation, machine learning, hierarchical modelling
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cancer genomes, and build predictive models that improve our understanding of tumour evolution and therapeutic vulnerabilities. This position offers an exciting opportunity to work at the interface
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to recruit a Postdoctoral Research Fellow to work across two ESA-funded research projects on Earth observation for monitoring Earth system tipping points: 80% of the post will be dedicated to the PREDICT
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. Learning Objectives: Under the guidance of a mentor, you will be able to learn to: apply artificial intelligence, statistical modeling, and agricultural data science, develop methods in predictive analytics