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Field
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clinical trials. Key Responsibilities Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples. Integrate multi-modal genomic, clinical, and
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systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offer Embedding within a computational team, with extensive experience in computational biology and
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commitment to growing with us. Your Tasks Expertise and Methodological Development Establish, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data
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elements of public space. The project has two core research pillars: 1. Spatial, Architectural, and Human-Space Analysis You will investigate how people use, move through, and experience wireless systems in
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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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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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, 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
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) government, industry, and local NGO’s. Your main contribution will be the development of a spatially explicit agent-based model of the society of the Metropolitan Region of Amsterdam, simulating circular
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN