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computational pipelines for the analysis of high-dimensional genomic and spatial-omics datasets. The successful candidate will work closely with experimental scientists to analyze complex biological datasets
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sensing technologies to monitor environmental changes at various spatial and temporal scales and to develop models that address key societal challenges related to climate change, food security, and water
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that connect single-cell and spatial transcriptomic data to mechanistic, biophysically grounded models of gene regulation. There is also scope to work on exact and approximate solutions of stochastic models
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imaging or electrophysiology, and/or proficiency in MATLAB/Python/R, and/or experience with mouse genetic models, electrophysiology, single cell RNAseq and spatial transcriptomics, behavioral assays
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spatially explicit social model and a qualitative reasoning engine using open language models, a local documentary corpus and model adaptation methods. * Contribute to coupling these components with DIGI
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. Experience with demographic modelling, ecological databases, functional traits, spatial/environmental data or field ecology is desirable. Qualifications A first degree in ecology, biology, environmental
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project. This research position will investigate models and their uncertainty for underwater acoustic propagation to better estimate the spatial and temporal properties of underwater soundscapes
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monitoring, environmental justice, or natural resource management. Experience with remote sensing, drone-based data collection, spatial modeling, geospatial data science, or geospatial artificial intelligence
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fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research
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, and spatial learning. We want candidates who are eager to further develop as instructors, analysts, and applied practitioners while contributing meaningfully to curricular and co-curricular initiatives