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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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analysis, based primarily on the evaluation of written documents, spatial data, interviews, and image sources. You have a doctorate in geography, environmental sciences, or similar disciplines and experience
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related to staff position within a Research Infrastructure? No Offer Description This PhD explores how citizens, spatial context, and devices jointly shape the behaviour of future wireless networks
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, fixed term contract upto July 2026). Spatial abilities include the ability to understand the spatial properties of objects and to mentally visualise objects and problems. Spatial abilities in childhood
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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 9 days ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable
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the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between stability and instability, and the first steps of transition
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our team and lead the development and application of cutting-edge spatial omics technologies, integrating expertise from our different core facilities. This role will be central to building and
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to wake development. Boundary conditions to the CFD model will be further developed to analyse the impact of meso-scale variation of the flow occurring over much larger spatial scales than the turbine array
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates