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certification in data science, machine learning, or analytics, expertise in immunohistochemistry and digital imaging techniques. Previous experience working in a molecular or biochemistry laboratory and/or prior
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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, algorithm development, AI, and machine learning, supporting fusion energy engineering through advanced simulation and workflow optimisation. You will work on impactful, collaborative projects across academia
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or computer modelling of behaviour. You will be highly motivated, collaborative and an excellent communicator (especially with respect to writing), and have a demonstrable desire to learn new skills
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across film, TV, games and immersive Virtual and Augmented/Mixed Reality. This work will make use of the latest advances in Machine Learning technology, e.g. generative AI, trained on datasets of world
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September 2025 Reference: 0505-25 The Benedetto lab is looking for an enthusiastic bioinformatician or computer scientist to join a wider collaborative project, studying how the gut-brain axis mediates gut
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candidate should have the following: Relevant postgraduate/PhD qualification Experience of learning, teaching and assessment within Higher Education Appropriate evidence of professional practice and external
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. Molecular simulation methods and quantum theoretical calculations in principle can address this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning
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qualitative data using NVivo and carry out quantitative analysis using Jamovi, or be willing to learn. You will value lived experience and be committed to producing research that is inclusive, ethical, and
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, Mathematical & Engineering Sciences. The post holder is required to hold a PhD degree in Computer Science or other relevant discipline. They will have skills in natural language processing and deep learning