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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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analysis, modelling and field experiments, our project will illuminate the way forward for assisted migration (AM) as a pathway to sustain, and to restore in case of degradation, the biodiversity and
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imaging with image analysis, and spatial genomics and proteomics. The position will be responsible for participation in seminars, professional development opportunities, manuscript preparation and
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. Spatial Transcriptomics: Application of Spatial Transcriptomics to new patient samples with the aim of validating the molecular signature of the cell populations identified by the AI using Giemsa morphology
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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, sustainability science, geography, or a related field. You have experience with quantitative research methodologies, including mathematical programming or scenario modelling. You have experience with spatial
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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sound like you? You should hold a Master's degree in spatial planning, urban and regional studies, policy and systems analysis, strategy and decision-making, infrastructure management and operations, or a