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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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Institute for Translational Medicine and Liver Disease (ITM), Inserm U1110 | Strasbourg, Alsace | France | about 2 months ago
development, as part of the ENACT program (https://cluster-ia-enact.ai/). This position will bridge the gap between fundamental research, teaching, and innovation by combining multiple disciplines and partners
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
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) is a world-leading academic organisation for education and research in geomatics and related fields. The Department is dedicated to the acquisition, modelling, analysis and management of spatially
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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program seeks to increase our understanding of the immunological and molecular mechanisms involved in autoimmune dysregulation in Type 1 diabetes (T1D). Through the use of novel murine models of T1D, human
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to research including: development of next-generation calibration-transfer and domain adaptation methods for multi-platform LiDAR machine learning and statistical modelling of forest structural attributes (e.g
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dynamics, working at the interface of cell biology, biochemistry and biophysics to tackle cutting edge problems in their field. Example research areas include the spatial, temporal and biophysical
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along many kilometres of fibre with down to metre-scale spatial resolution – a technique coined Distributed Acoustic Sensing (DAS). The long-term ambition is to enable high-resolution, real-time warning