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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators
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; 4 years of relevant experience in computational image analysis and spatial statistics required with High School diploma or GED, 2 years of relevant experience in computational image analysis and
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maintain stable associations between host and microbial populations, while mammalian development generates highly constrained spatial patterns from noisy molecular and cellular processes. How such ordered
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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spatial and temporal variability in sediment accumulation and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more
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for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will
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and Prof. Sytze de Bruin. Where to apply Website https://www.academictransfer.com/en/jobs/362515/phd-state-dependent-spatial-rep… Requirements Specific Requirements As a PhD researcher, you should have
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The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work
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the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision-making and biophysical land dynamics. By explicitly coupling social
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spatial analysis of strandings data, including trend and time-series analysis. 6. Produce descriptive statistics, tables, figures and distribution maps, together with the analytical and interpretive content