167 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of Oxford
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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projects with colleagues in partner institutions, and research groups. You must hold a PhD/DPhil (or near completion). You will have extensive experience in live imaging of the spleen using 2-photon
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, purpose-built Life and Mind Building (LaMB) a multidisciplinary research and teaching facility due to open in the summer of 2025. This role focuses on investigating how impairments in world and goal models
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on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a
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Prof. Luigi Rizzi (Collège de France), seeks to investigate the acquisition of French from a cartographic perspective, employing the Growing Trees model developed by Friedmann, Belletti, and Rizzi, and
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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We are seeking to appoint a highly motivated Postdoctoral Researcher to join the research group of Professor Ignacio Melero, MD PhD, at the Oxford Centre for Immuno-Oncology within the Nuffield
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proteome in heart-specific cell lines and primary tissue. It will utilize disease model systems to characterize unique cell surface signatures for cardiomyocytes, coronary endothelial cells, and fibroblasts