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Field
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is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available spectrum. In this environment, it is crucial
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analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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& migraine, repair & regeneration following spinal injury, neuroinflammation, and hearing loss. About the role: Age-related / adult-onset hearing loss (ARHL) is a complex neurodegenerative disease affecting
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, neuroinflammation, and hearing loss. About the role: Age-related / adult-onset hearing loss (ARHL) is a complex neurodegenerative disease affecting millions of people worldwide. This is an exciting opportunity for a
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archaeal genomes, characterizing core and accessory gene dynamics across diverse phylogenetic scales. A key focus will be developing transformer models to capture patterns of prokaryotic evolution, including
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projects. Strong proficiency in the following areas, and the ability to integrate them into complex workflows: Computational design and 3D/4D modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point
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will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project as