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learning, or computational research Required Experience Demonstrated experience building, training, fine-tuning, and evaluating machine-learning or deep-learning models using established frameworks such as
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, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is
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Dunedin and will be supervised by Associate Professor Colin Fox. The successful applicant will play a leading role in developing scalable Bayesian algorithms, probabilistic models, and computational methods
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programme with interdisciplinary links across genomics, metabolomics, advanced medical imaging, preclinical modelling/drug delivery, and mathematical modelling. You will be joining a diverse and supportive
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-performance computing and big data analytics PhD must have been received within the last three years. Preferred Qualifications: Demonstrated understanding of model validation, clinical trial design, and causal
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and computational modelling aspects of the project, extending our work on symmetry-protected quantum states in interacting many-body systems and their implementation in superconducting quantum circuits
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informatics and modelling, and is the UK National Reference Centre for soil. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact
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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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Applications are invited for an ambitious Senior Research Fellow in Health Economics to work at the University of Southampton and contribute to a nationally-leading research programme funded by
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data and build a 3D geological model. The position involves conducting research, supervising undergraduate students, and writing project reports and scientific articles. Job Requirements: PhD