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for the representation of spatial and spatio-temporal data Grant/funding period: START: 01/09/2025 END: 31/08/2028 Centre of Principal Researcher: Centre for Information and Communications Technology Research PURPOSE
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
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, and socio-economic drivers, all of which vary across spatial and temporal dimensions. Bringing together diverse data, information, and knowledge—collected from survey data, narrative accounts, and
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researcher to join the unit for Marine conservation and spatial planning at the Institute for Coastal Research, to help us develop and communicate new knowledge to support the long-term sustainable use
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ecological modelling, spatial analysis, and interpretation of biological datasets. Demonstrated leadership of complex abalone field programs. Experience supervising HDR students, technical staff, and early
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | 15 days ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where
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. The investigation of the temporal and spatial distribution of the generated emissions in the atmospheric layers after the re-entering launch vehicle has passed through is therefore crucial for drawing conclusions
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: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 Profile Master’s in bio
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learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly with