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Field
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of the research programme. We’d like to hear from candidates with experience of mixed methods clinical research, co-designing or adapting complex healthcare interventions, knowledge of behaviour change
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broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful candidate will be required
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group, you will work within the broader cosmology group at Oxford, who combine expertise on a wide variety of topics in theoretical, observational, and numerical cosmology and astrophysics. The successful
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applicant will contribute to the development of novel mathematical and computational methods for image analysis and AI, with a particular emphasis on interpretable and uncertainty-aware approaches motivated
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This 36-month postdoctoral position is part of the project ENLIGHT (Enabling a Lifecycle Approach to Graphite for Advanced Modular Reactors) consortium, a £13.2 million, five-year programme
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candidate will have in-depth knowledge of how to address relevant biological problems using analytical methods from the fields of differential equations and/or stochastic processes, as well as computational
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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image cross-correlation, particle image velocimetry, feature/object tracking, orthorectification, image segmentation and/or image analysis techniques that may be novel to glaciology (including AI methods
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at Aalto University School of Science, in collaboration with the groups in the National Center of Excellence “QMAT - Quantum materials”. In parallel, the NANO group is pursuing work on fractional Chern
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that will combine large-scale experimental evolution studies in the lab with innovative computational methods to uncover how transposons invade and spread across genomes and how host machineries eventually