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Field
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skills (survey, cataloging, creating typologies) Familiarity with augmented reality mapping (ARS), geographic information systems (GIS) and/or remote sensing Personal qualities and qualifications: Self
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of databases, thematic mapping in GIS and 3D engineering geological models. Evidence obtained from studies related to the petrographic, mineralogical, geochemical and physical characterization of rock materials
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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focus on conceptual models (WEST, SIMBA, CityDrain, etc). or detailed hydrodynamic models (SWMM, MIKE, Inforworks). Experience in the management of big datasets and the use of GIS tools is recommended
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modelling tools are required. Robust modelling and programming abilities (e.g., Python) are essential prerequisites. Experience with VIC (or similar hydrologic models), GIS, and large-scale computing
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areas. • Experience in the use of GIS. 9 - Location Workplace: LNEC – National Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa, Portugal Website: https://www.lnec.pt Email
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in statistical and/or GIS analysis are also encouraged. Applicants are expected to assist faculty in the Department of Geography and the Environment by co-teaching a Mendel Science Experience lecture
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monitoring protocols, data-platform or GIS experience, and familiarity with applied science frameworks such as the Global Coral Reef Monitoring Network (GCRMN) or the IUCN Red List of Ecosystems. If you have
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. • Experience with visualization tools (e.g., dashboards, GIS, spatio-temporal mapping). • Experience collaborating with community or Tribal partners on resilience, energy, or water issues. Salary and Benefits
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data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents