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Field
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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relevant to the position. Research Fellow I: PhD from an accredited institution in Agronomy, Crop Science, Soil Science, Agricultural Engineering, Data Science, Remote Sensing, or a closely related field; no
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A successful candidate will have a PhD in political science, public policy, or a related field. The degree must be conferred by the start of the position. Applicants should have received their PhD
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, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
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skills (including 3D modeling) and remote sensing • Advanced field data collection skills • Intermediate statistical data processing skills • Previous volunteer experience in research activities Specific
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atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies, intelligent transport systems, smart city, utility system management, location-based services