7 remote sensing positions at Pennsylvania State University

  • Pennsylvania State University | University Park, Illinois | about 22 hours ago

    -performance, reusable code for UI components; competence with revision control systems (Git). Professional skills required: Ability to work independently; initiative, imagination, and common sense; problem

  • Pennsylvania State University | University Park, Illinois | about 22 hours ago

    chemistry), radiation detection, nuclear science & engineering, autonomy, physics (including laser, nuclear, condensed matter, plasma, atomic, molecular, and optical), materials science, remote sensing, mass

  • Pennsylvania State University | University Park, Illinois | about 22 hours ago

    academic year in a variety of subject areas, including (but not limited to) remote sensing and observations, synoptic meteorology, forecasting, and general education topics. The ideal candidate will be

  • Pennsylvania State University | Southern Md Facility, Maryland | about 21 hours ago

    ; excellent verbal and written communication skills; and a sense of humor. Computer competencies needed are: MS Word, Excel, PowerPoint, chat, student records systems, and e-mail. We are looking

  • Pennsylvania State University | University Park, Illinois | about 1 month ago

    research/algorithm development, machine learning, and GIS platforms is preferred. Required experience includes research and development in geography, GIS, GEOINT, remote sensing platforms, and cartography

  • Pennsylvania State University | University Park, Illinois | about 1 month ago

    , spatially explicit vegetation modeling, remote sensing, networked observations, model-data synthesis, biogeochemical cycles (e.g., C, N, and water), and coupled natural and human systems. Exemplary candidates

  • Pennsylvania State University | University Park, Illinois | 2 months ago

    assessment of risk relies both on detailed understanding of the physical weather and climate system and on the ability to rigorously and comprehensively make sense of the many available sources of data

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