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Environmental Sciences, Ecology, Climatology or an equivalent discipline, obtained more than one year ago, with previous experience in remote sensing, satellite image analysis, the analysis of spatial trends and
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
to pursue our mission at MSK and around the globe. Exciting Opportunity at MSK: Research Scholar, Biostatistics Service Role Overview: We are seeking a highly motivated candidate, interested in statistical
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historical information sources that are integrated into spatial analyses and statistical models. The work may also include laboratory analyses of soil carbon to provide a clearer understanding of which carbon
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and matched employer-employee data to understand the changing landscape of cities. More information on Diego Puga's research can be found at https://diegopuga.org/ Predoctoral Fellow’s Roles and
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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appointment. Appointment Start Date: The start date is flexible. We will review applications on a rolling basis. Group or Departmental Website: https://pathology.stanford.edu/(link is external) How to Submit
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emphasis on emerging wearable optically pumped magnetometer (OPM) technology. These methods and hardware will improve the spatial resolution, robustness, and computational foundations of MEG source imaging
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on the environment and individuals’ or society’s relationship to the environment, and mentoring in the Yale’s non-degree online environmental data science certificate program, https://environment.yale.edu/certificates
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geography with a focus on natural hazard research as well as spatial statistics in the studies BSc Geography and MSc Geography: Global Change and Regional Participation in research, teaching and
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skills and experience: a PhD (or be close to completion) in Remote Sensing, Computer Vision, Forestry, Geomatics, Machine Learning, Spatial Statistics, or a closely related discipline demonstrated research