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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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(e.g., ball milling, high-pressure fracture experiments), magnetic-resonance-based characterization, geochemical analysis, microbial ecology approaches, alongside modeling hydrogen migration and storage
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, student guidance, etc. [Subject in charge] 【Master’s course】 Living Environment Design (Advanced digital spatial design) ( ): Newly planned subjects 【Bachelor's course】 Architectural Design IA
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this, the TUNIC project aims to develop a 3D tumour-on-chip (ToC) model incorporating primary neutrophils, tumour cells, and CD8+ T cells. This model will investigate the direct and indirect killing capacities
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://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Our department is looking for a Research
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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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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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Postdoc for the study of age-dependent colorectal cancer metastasis 100% Department for BioMedical Research, https://www.dbmr.unibe.ch/, UVCM, Gastroenterology Start of employment: 01.03.2026 or as
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and apply advanced analytical frameworks--including geospatial statistics, machine learning tools, air quality modeling, and source apportionment techniques--to interpret air pollution observations and