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, engineering, and/or computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and
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receive interdisciplinary training at the interface of molecular biology and biophysics with a particular emphasis on imaging and computational analysis methods. You will be part of an international network
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interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills - An enthusiastic team of professionals to co-operate with - Personal
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Benefits - A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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planning and coordination of production activities in supply chains and generate managerial insights and practical guidelines for practitioners. Take part in the mandatory PhD research education program
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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information: Interviews are planned for 16th of March 2026. For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk or contact the Human Resources team on 01603