48 programming-"the"-"IMPRS-ML"-"FEMTO-ST" Postdoctoral positions at Cornell University
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Postdoctoral Researcher - Automation for Small-Scale Water Treatment The VersaWater collaboration, led by Cornell University and supported by the National Science Foundation's Convergence Accelerator program in
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by Cornell University and supported by the National Science Foundation’s Convergence Accelerator program in Future Water Systems, is addressing the water and wastewater capacity needs of very small
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Accelerator program in Future Water Systems, is addressing the water and wastewater capacity needs of very small communities (<1000 persons) across the United States. VersaWater technologies are prefabricated
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for Astrophysics and Planetary Science, led by Prof. Dr. Britney Schmidt, invites applications for a Postdoctoral Fellow to join a field-based research program in northwest Greenland. The ideal candidate would have
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related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling
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detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high
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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer-reviewed publications commensurate with career stage and
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python