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single-cell and spatial transcriptomics, whole-genome sequencing, high-throughput screening, CRISPR-based functional screening, and patient-derived organoid models. You will work closely with in-house
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discipline. Expertise in one of the following areas: Single-cell and spatial transcriptomics, whole genome sequencing, proteomics, organoid modelling, CRISPR screening Liver biology, developmental biology, or
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augmentation for soil and biomass carbon forecasts and scenario modelling across Europe; developing and benchmarking uncertainty quantification methods for space-time predictions and for spatial blocks
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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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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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augmentation for soil and biomass carbon forecasts and scenario modelling across Europe; developing and benchmarking uncertainty quantification methods for space-time predictions and for spatial blocks
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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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collaboration with modelling (WP3) and societal uptake (WP5) partners; · Development of standardized indicators for evaluating technical, ecological, and societal outcomes. This WP involves close
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) to develop computational models for electric breakdown of gases Job description Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors