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, GIS/GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational decision-support systems for agencies and
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projects-tracking misinformation, analyzing climate change data, and building machine learning models-before advancing into GIS (Geographic Information Systems), network analysis, and responsible technology
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librarians and staff , including those involved in GIS, Robotics, Makerspace Labs, the Teaching and Learning department and specialized subject librarians. The ideal candidates will demonstrate strong
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computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data pipelines is essential. Skills in
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well as reservoir geology and geophysics in the context of various geoenergy applications (hydrocarbons, geothermal energy, CCS, UHS) Expertise in GIS-based geodata management Expertise in the creation of reservoir
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Director to identify technical resources and future needs. • Monitors and maintains the updates of GIS related software on PC workstations including but not limited to ArcGIS Pro, QGIS, R and Python
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services for the higher education and public sector community. Some of those services include Broadband Internet Service , GIS & Data Analysis , the Routing Assets Database (RADb ), and Network Research
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Qualifications) • Experience with externally funded research (e.g., NSF, USDOT, NIH, or similar). • Experience contributing to grant or proposal development. • Familiarity with transportation data, GIS
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services in support of Network, Security, and Community services for the higher education and public sector community. Some of those services include Broadband Internet Service , GIS & Data Analysis
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such as Python, C/C++, or Java. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and geospatial libraries (e.g., GDAL, GeoPandas). Experience managing or supervising