51 engineering-in-image-processing-"MONASH-UNIVERSITY" Postdoctoral positions at KINGS COLLEGE LONDON
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tissue samples from one of Europe’s largest and most well- characterised ILD cohorts. The postholder will be responsible for tissue processing ad generation of / sorting of primary lung cells from
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join the project team in October 2025 or soon after. The candidate will join the Department of Engineering at King’s College London. They will become a member of the Centre for Robotics Research (CORE
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perspectives from socio-legal studies, science and technology studies (STS), and philosophy our project will critically explore regulatory approaches and their unfolding impacts in three regions: Europe (France
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technology—and strengthen collaborative links across institutions. The role is integral to advancing research excellence at King’s in the field of addiction science and supporting further development
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contributions to work in climate change, disasters, smart cities, risk regulation, water, human migration and land surface processes related to for example agriculture, forests and landscape fire. We are also
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observational data, and compare the results with those from other emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and
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by Professor Tim Tree, at King's College London. Our team focuses on understanding the immune system's role in autoimmune and inflammatory diseases and exploring immunotherapy to treat them
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these projections with observational data, and compare the results with those from other emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and
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inflammatory diseases and exploring immunotherapy to treat them. This exciting project involves characterising samples from a recently completed Phase II clinical trial for amyotrophic lateral sclerosis (ALS
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and/or flow cytometry-based readouts of infection Experience with biochemical assays (e.g. Western blotting) Experience handling/processing samples in vivo infection models and/or human samples