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) Development of state-of-the-art database and analysis platforms as part of data science, utilizing diverse datasets related to earthquakes and volcanoes across broad spatial and temporal scales. These datasets
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experience in the analysis in at least one of the following domains: single cell genomics, WGS, WES, ChIP-seq, ATAC-seq, RNA-seq, spatial transcriptomics/proteomics, machine learning/deep learning models
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the scientific coordination and integration of the project's activities. Responsibilities include: • Data synthesis and integration across spatial and temporal scales, combining experimental, ecological
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. Experience in holistic/systems thinking, modeling, analysis, architecting, and design is desirable. Smart, Connected, and Healthy Communities: Smart Integrative Energy Systems The Ezra Systems Post-Doctoral
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the group's other research projects. The project, funded in part by a grant from the ERC, involves generating and analyzing large datasets of single-cell and spatial transcriptomics data to describe brain tumor
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orientation, Crime Lab builds bridges between criminology, psychology, data science, spatial analysis, behavioural biology and computer science. The team investigates a broad range of topics, including
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they continue to investigate. Approaches include genetics, spatial genomics, single-molecule biophysics, super-resolution imaging, computational modeling, and structural studies including X-ray
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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information about the study programme Offer of dissertation topics: Advanced computational frameworks for interactive spatial transcriptomics analysis of CNS disorders Codon Degeneracy as a Source of an