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Field
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funding calls. REQUIRED PROFILE • PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. • Strong background in hydrological modelling, time
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Department of Forest Ecology and Management Third-cycle subject area Forest Management Description of the doctoral project This PhD position focuses on social dimensions of ecosystem restoration. It
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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thesis), with significant skills in the second (typically through their initial training, an internship, or a prior post-doc). We are therefore seeking applications from the remote sensing and geosciences
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consider one or multiple subtopics that our group is particular interested in and invests on: (1) ice microphysics remote sensing from infrared to microwave spectra (TIR, FIR, sub-mm, MW); (2) cloud
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that does not reflect local reality and thereby create unfair comparisons. Your work will include measurements of greenhouse gases (CO2, CH4, N2O) using drones and various sensors, as well as remote sensing
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, remote sensing, field observations, interviews); Conduct landscape level ex-ante scenario impact assessments to quantify short-term climate risks, long-term resilience, and economic performance. Drivers
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, especially in the remote and ice-covered Arctic Ocean. We have an opening for a 3-year PhD fellow position, connected to our Data Assimilation group, conducted in collaboration with our Sea Ice and Ocean
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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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