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. To perform successfully in the position the appointee should have research and/or teaching experience in at least two of the following disciplines: spatial statistics and modelling spatial data-based
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Germany (https://ngs-kn.de ). Its primary technological focus is on implementing innovative methods for single-cell and spatial sequencing, as well as bulk short and long-read sequencing applications. With
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strategies. It specifically aims to develop, explore, and evaluate new statistical analysis and diagnostic methods using different data sources to improve estimates of population size, temporal trends in
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of the position. Required Qualifications: - A PhD in Economics, Public Policy, Health Policy, or closely related discipline. - Expertise in data management, spatial analysis, GIS, and R/Stata programming methods
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. The ideal candidate will have a solid background in quantitative methods, with particular emphasis on spatial data analysis, landscape ecology, and the integration of telemetry, demographic, and environmental
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) - email : antoine.berthet@centralesupelec.fr – web : https://scholar.google.com/citations?user=jxMJvuUAAAAJ&hl=en Bibliography: [1] J. Federici and L. Moeller, “Review of terahertz and subterahertz
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Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with single-cell and spatial transcriptomic analyses is a plus High motivation and curiosity
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of samples (murine and human) for ChIP-seq, ATAC-seq (bulk, single-cell, and spatial), RNA-seq (bulk, single-cell, and spatial), and other multi-omics approaches in collaboration with the appropriate
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models, spatial Bayesian methods, case time series, case crossover. Have experience with the management and analysis of large climate and/or health databases. Have experience with Linux environment and
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of malignancy. The Gomez lab is focused on the analysis of high throughput genomic data and the application of bioinformatic techniques with the goal of improving cancer care and developing personalized medicine