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programmes in spatial planning and architecture, in Polish and English, including conducting classes using statistical methods and GIS. Participating in the education of doctoral students, including serving as
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, chromatin profiling, genomics, spatial transcriptomics and single-cell data. Apply statistical, machine learning, and network-based approaches to analyze high-dimensional biological data. Collaborate closely
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project focused on urban biodiversity modelling and spatial ecology in Singapore. Key Responsibilities: The Research Assistant/Associate will contribute to the development of species distribution models
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functioning, use of stable isotopes and enzyme assays Experience in analysis and interpretation of experimental data, including statistical analyses of large datasets, preferably from studies done at large
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phenomena, orbit determination, GNSS signals, and statistical estimation to address a range of specialized geodetic applications. Design experiments and corresponding analyses to gauge systems' performance
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-environment-climate public goods (AECPG). By combining insights from results-based, collective and spatially targeted schemes with novel financing and robust monitoring, REWARD seeks to build scalable models
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mitigation and adaptation, resilience and nature-based solutions. Quantitative and spatial research methods, including statistical analysis, GIS and data-informed evidence for planning practice. Digital
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transcriptomic datasets (bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and time-series data). • Identify disease molecular signatures under spaceflight and simulated conditions. • Construct and
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Bioinformatics Integrate, mine, and analyze multi-omics data, including genomic and phenomic data. Develop or apply bioinformatics tools and statistical models to identify key genes and pathways regulating
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, to extract insights from multi-omic single-cell and spatial datasets Integrate population-level genetic association data (e.g., GWAS summary statistics, eQTL resources) with single-cell and spatial datasets