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Field
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-definition spatial transcriptomics data are being generated in Newcastle to study links between cellular senescence and cardiovascular disease. These datasets will serve as a test case for developing
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information and useful links about postdoctoral fellowship training positions at the NIH can be found at https://www.training.nih.gov/resources/faqs/postdoc_irp. DHHS, NIH, and NICHD are equal opportunity
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deriving variables of interest from the collected data. For example, the linking of the municipality’s geographical data with major national databases (ATMO, INSEE, ARS) will be required in order to collect
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-definition spatial transcriptomics data are being generated in Newcastle to study links between cellular senescence and cardiovascular disease. These datasets will serve as a test case for developing
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, including Machine Learning & Artificial Intelligence, Colour & Imaging, Computer Vision, Graphics, Data Science, Health Computing, Computational Biology, Cyber Intelligence and Networks. We collaborate with
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of carbon with concrete structures, and the reduction of carbon emissions linked to the construction sector. Your profile This project calls for an open character with a strong knowledge on concrete
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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 2 days ago
19 Apr 2026 Job Information Organisation/Company Laboratoire INSERM UMR1311 Rouen Normandie Université Research Field Biological sciences » Biology Medical sciences Researcher Profile Recognised
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communication and teamwork skills Desirable Experience with life-history, developmental biology, or behavioural ecology experiments in small invertebrates Experience linking empirical data to modelling or theory
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: • Knowledge of fluid dynamics, especially experimental methods in atomisation and sprays. • Programming experience (e.g. Python, MATLAB or similar). • Experience with data analysis, machine learning
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learning approach to translating multi-modal inspection data into remaining useful life predictions; and (3) create a dynamic techno-economic model linking real-time condition assessments to optimal