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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology
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datasets (bulk, single-cell, and spatial). Primary responsibilities include developing sequencing pipelines, maintaining project databases, designing validation experiments, and drafting manuscripts and
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Science, Global Change Science and/or Macroecology Experience in studying biodiversity patterns across spatial and temporal-scales from regional to global Experience in advanced statistical analyses
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-cell RNA-seq) Preferred Qualifications Background in statistical or population genetics, including variant annotation and prioritization Experience with single-cell or spatial transcriptomics Familiarity
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validation, while establishing protocols for sensor calibration, spatial sampling, quality control and integration with Earth Observation data. Develop spatial, statistical and predictive models to investigate
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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publications. Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post
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receive advanced training in: Statistical genetics and multi-omics integration Deep learning for regulatory genomics Single-cell and spatial transcriptomics Large-scale data engineering Training is highly
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, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post receipt of PhD. The ideal candidate will have demonstrated experience conducting independent marine spatial
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage