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/Pharo/CORMAS preferred). GIS and spatial analysis (desirable). Basic knowledge of animal epidemiology (an asset). Facilitation skills: Interest in participatory approaches. Ability to interact with non
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spectrometry; combine imaging datasets with multi-omics, digital pathology and AI-assisted image analysis to generate integrated biological insights; analyze the spatial distribution of ADCs, antibodies and
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and needs-based design, yet spatial planning stakeholders insufficiently consider these insights. Few studies systematically combine methods and insights from these diverse approaches, and an evidence
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experience with spatial data analysis. An interest in working with large datasets and high-performance computing are assets. You are a collaborative team player with strong communication skills. You are fluent
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- PDF) Download Additional Information Benefits - The opportunity to work in an interdisciplinary research team combining molecular biology, genomics, bioinformatics, and data analysis. - Participation in
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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with spatial data analysis and integrating qualitative and quantitative datasets using platforms such as GIS
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generated by cleared tissues. Imaging deep within biological tissues remains challenging because of optical aberrations caused by spatial variations in the refractive index. These aberrations degrade image
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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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PhD: Imagination infrastructures and the ‘boring power’ of techniques Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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, or supervised/unsupervised learning depending on the available data) using spatial analysis and geographic machine learning tools (e.g., scikit-learn, PyTorch/TF + GeoPandas/Shapely) - Implementing a semantic