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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build the data backbone for the next era of AI-powered spatial
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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build the data backbone for the next era of AI-powered spatial
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
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that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu
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biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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experience of quantitative environmental data analysis, including climate data, ecological or forest inventory data, and/or spatial data sets, and skills in statistical analysis and data processing using tools
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of repeating earthquakes, swarms, and slow slip events; (2) precisely locate seismic and aseismic slip on the plate interface and characterize their stress drop and slip spectra; (3) quantify the spatial and
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highly motivated Postdoctoral Scholar to work at the interface of fire ecology, forest dynamics, and ecosystem modeling as part of the Western Fire and Forest Resilience Collaborative (WFFRC; https