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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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from cognitive-behavioural testing (connected to hippocampus-dependent cognitive domains such as learning, memory, and spatial navigation). An essential point will be integrating multifaceted data
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with or managing research activities, and preparing reports. Strong skills in statistical analysis and handling large spatial and temporal datasets. Good communication skills for collaboration within
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for a PhD program (or equivalent), except the dissertation, in fisheries economics, environmental economics, fisheries science or management, or a related field at the time of application. Additional
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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Analysis for Planning Renewable Energy (MapRE) initiative, a spatial analysis platform for planning renewable energy deployment, and GridPath, an electricity system planning and operations analysis platform
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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interventions to mitigate the harmful impacts of environmental change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial