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analysis pipelines for processing transcriptomics and proteomics data, both single cell and spatial. You will be responsible for testing and implementing these pipelines in collaboration with scientists in
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tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and
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these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain such expertise. Experience with GIS-based spatial analysis, or a clear
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tissues. The facility will integrate state-of-the-art methods for spatial transcriptomics, advanced microscopy, volumetric imaging, neuronal activity mapping, and multimodal data analysis, with an initial
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direct immune activation. The project integrates molecular physiology, multi-omics, and spatial systems biology to uncover the mechanistic basis of this immune-metabolic switch. The successful candidate
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. Experience with data manipulation in SAS or SQL. Experience in spatial analysis and mapping using ArcGIS Pro. Experience developing and maintaining interactive visualizations using Tableau. Experience working
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-affiliated hospitals. Responsibilities: Design and conduct studies using multiplex immunofluorescence, spatial transcriptional profiling, and other cutting-edge, high-dimensional tissue analysis approaches
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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research, personalized medicine, and computer-assisted pathology. The candidate will lead the efforts related to the development of statistical models for the spatial analysis of transcripts and cells. Where
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, and the competitiveness of port cities. - Study the current and future territorial dynamics resulting from spatial planning instruments and the Strategic Plan of the Port of Lisbon, focusing on land use