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Field
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modelling and spatial ecology project focused on urban Singapore. Key Responsibilities: The Research Fellow will develop species distribution models, multi-species occupancy models, biodiversity indicators
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analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics, integrates publicly available datasets into a
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 5 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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spatial and remote sensing data for surveillance for zoonotic and vector-borne diseases across Southeast Asia. This position offers the opportunity to work on ground-breaking research projects in the broad
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immunity, or animal models of chronic inflammation Expertise in advanced immune phenotyping (e.g. spatial omics, single‑cell omics including deep learning, O-link proteomics, Crispr screening, human PBMC
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and spatial modelling to assess willow expansion in different parts of Norway from recent decades to the present. The project will subsequently investigate the environmental and land-use factors
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will focus on the development of AI-enabled programmable coherent fibre-laser arrays. You will investigate how the spatial properties of coherent optical fields can be measured, predicted and controlled
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, and hypothesis generation. Integrate transcriptomic, epigenomic, spatial transcriptomic, and other multi-omics datasets. Perform gene regulatory network, transcription factor, pathway, and cell-state
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 5 days ago
use of resources in a highly interdisciplinary and distributed framework; Model scientific and community knowledge regarding stakeholder networks and socio-ecological systems; Develop integrated