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Field
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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 26
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part of our team, you will leverage state-of-the-art single-cell, spatial and organoid technologies in a collaborative and interdisciplinary environment. Research focus We welcome candidates with a
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for pediatric diseases. Project Description: Our research focuses on how genetic variants contribute to diseases during early development and on developing mechanism-driven therapeutics. While animal models have
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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. Successful applicants will work together as part of an international team of experts at four sites to apply cutting-edge approaches in high-resolution, single-molecule imaging; single-cell Ribo-seq and spatial
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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on Svalbard and involve field work activity in Svalbard, during both winter and summer seasons and the implementation of the measured data into numerical models. Travel to the project’s partner institutions
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crust and mantle lithosphere. This covers the entire spectrum of topics ranging from geomechanics and rock physics to the rheology of crust and uppermost mantle, ranging over the entire spatial bandwidth
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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applicant for this job will conduct applied research in the areas of transportation, traffic-related air pollution, human exposure assessment and public health impact modelling. Part of the work will be