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flowering times over large spatial scales. Now, the PollenNet project seeks a highly motivated PhD student working at the interface of plant phenology, citizen science and ecological modelling. The PollenNet
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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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We are looking to hire one PhD student within the European Union Project LIFE IP GrassBirdsHabitats (www.grassbirdhabitats.eu) to work on a research project on spatial and foraging ecology of Black
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
combines expertise in advanced techniques of demographic, longitudinal and spatial analysis. The student is expected to use the opportunity of preparing a PhD thesis as a collection of research articles
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genomic, transcriptomic, epigenetic, proteomic, digital spatial, and other ‘omics data in healthy and disease states close interaction with the bioinformatics and immunology teams of Katrin Kierdorf, Julia
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling
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mathematical statistics (University of Gothenburg / Chalmers University of Technology) Prof. Mats Nilsson, pioneer in spatial genomics (SciLifeLab & Stockholm University) Integration into the national DDLS
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-regulatory mechanisms underlying this disease and reveal the mechanisms underlying the strong cell-type specific effect of the CMT-causing YARS mutations. For this we will generate high-resolution spatial
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this disease and reveal the mechanisms underlying the strong cell-type specific effect of the CMT-causing YARS mutations. For this we will generate high-resolution spatial chromatin organisation, chromatin
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molecular biology researcher with expertise in biomedical research and in the operation and support of state-of-the-art single-cell and spatial transcriptomics and metabolomics instrumentation and assays