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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net ) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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Transcriptomics and Multiplex Immunofluorescence platforms. You will develop computational methods for identification of discriminative spatial interactions of therapeutic response, and develop skills in
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 24 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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. The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on undertaking both experimental and numerical studies within the hydrogen
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39 Faculty of Computer Science Startdate: 15.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 28.02.2026 Reference no.: 4516 Explore and
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a testbed of micromorphic numerical models, and metamaterials. Proposing experimental methods to obtain micromorphic models under small and large strain, with coupled uncertainty quantification
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. Key Responsibilities: Conduct spatial analyses of Swiss EDs using space syntax and isovist methods, examining inter-visibility, accessibility, ‘choice’ points, and spatial complexity. Analyse point
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a testbed of micromorphic numerical models, and metamaterials. Proposing experimental methods to obtain micromorphic models under small and large strain, with coupled uncertainty quantification