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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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funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101162722 Is the Job related to staff position within a Research Infrastructure? No Offer Description The ERC
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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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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 | about 1 month 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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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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) Country United Kingdom Application Deadline 29 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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skills: excellent knowledge of French; Technical skills: knowledge of linguistic theories; experience with empirical methods, in particular statistics (R); Teaching skills; Interest in third mission
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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