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to develop research on socio-spatial disparities and their impacts on access to essential services such as education, health, and infrastructure. The successful candidate will also work on analyzing and
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); apply and refine evapotranspiration estimation methods based on these in-situ observations (e.g. Makkink, Penman-Monteith, SPAC-models); develop spatial upscaling techniques using remote-sensing data and
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spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The position offers an extraordinary team-based science environment with opportunities
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cohorts. Responsibilities include planning experiments and analysing data; handling of human tissue samples; immunohistochemistry and histopathology; RNA and protein biochemistry; spatial proteomics
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tract, how immunity develops in early life, and how it goes awry in devastating inflammatory diseases such as necrotising enterocolitis and inflammatory bowel disease. Spatial ‘omics and single cell
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a spatially explicit predictive model for Everglades vegetation dynamics in response to major drivers. The major objectives are to explore the distribution models that discriminate among prairie and
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Economics (m/f/d) (Position number: 14-2025 Postdoc Spatial Equilibrium) in the field of spatial equilibrium modeling, starting on 01.08.2025. The position is initially funded for 18 months, with
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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the following duties: ● Perform experiments relating to the role of metabolism, inflammation and epigenetic regulation in driving retinal degeneration. These include experiments such as spatial genomics
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learning, deep learning, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific