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We are seeking a highly talented and motivated Postdoctoral Researcher with an interest in Human-AI interaction to join a research team led by Prof Chris Summerfield focussed on studying learning
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immune cells will be studied in preclinical models with special emphasis on how adoptively transferred cells interact with tumor cells, the tumor microenvironment, and resident immune cells. Successful
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. At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model
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supervising BSc, MSc and PhD students. Your profile The Postdoc will use different optimisation strategies applied to plant breeding including genotype by environment interaction modelling with multi-omics
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from law, policy, human-computer interaction, and industry practice. Administration/Management Carry out additional duties as may reasonably be required within the general scope and level of the post
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of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing
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controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c
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to surgery including cell-cell interaction prediction modeling as well as characterization of the surgically triggered “genomic storm” in human PBMCs and endothelial cells. The laboratory also has ongoing
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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are passionate about any or all of the following: Data Science, Computational Social Science, Behavioral Economics, Human-Bot interaction, Experimental Research, Game Theory, and Artificial Intelligence. Some of