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pressure-temperature sensors Conduct independent code development and testing in Python or python-based languages Joint interpretation of seismological data and tidal or modelling data. Prepare presentations
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of environmental seismology, an emerging field focused on interpreting seismic signals generated by surface processes. This interdisciplinary PhD project aims to integrate hydraulic measurements, physical models and
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. Demonstrated autonomy 2 to 5 years' experience in signal processing and observational seismology, ideally applied to environmental seismology. Where to apply Website https://www.aplitrak.com/?adid
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. Use and incorporate Home Means Nevada’s platform (linked below) into your portfolio. https://docs.google.com/document/d/16LD1Tht_rhlq40Gbolt9m9LPtQv2HN1ncBuv2VHWf-Y/edit?usp=sharing Contact Information
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conferences and through publication in peer-reviewed journals. Ideally you will also have experience in seismological fieldwork and competence in crustal seismic imaging from local or teleseismic data
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, including artificial intelligence, beneficial to seismology, in collaboration with experts in solid earth science and information science/statistics. *See the following websites for the details of the related
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. Classified Employee Family Opportunity Program Department Information https://www.unr.edu/nnic Exempt No Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your application
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, Geophysics / Seismology, Robotics, or environmental physics), and general-education or lower-level physics courses. All lecture and laboratory sections are taught by the faculty. Candidates should be committed
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. Research and graduate education in the Department of Earth Sciences focuses on the following subfields: (a) Geophysics: tectonics, seismology, remote sensing, and fault mechanics, as well as earthquake
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instructions to others on how to use it. Classes may be for credit (PEX) or drop-in. Contracts run semester to semester. Please visit https://www.unr.edu/fitness/drop-in-class-schedule to view Drop-In classes