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simulations, o Preliminary aircraft or drone design. · Experience in applied research or technology development projects is considered an asset. · Hard skills: o Proficiency with
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revealed (e.g. travel cost) and stated preferences (e.g. choice experiment) to estimate the OFR value, considering household socio-economic data. The DC will also investigate the impacts of forest
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. Activities of the successful candidate: Conduct extensive background literature analysis. Plan and organise experiments to define and test hypotheses and develop forefront research. Publish the results
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Geosciences Experience and skills · You have a strong interest in terrestrial ecosystems modelling, vegetation demography, plant physiology, and climate change. A background in forest engineering
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, or related Experience and skills · Multi- and hyperspectral images processing · Knowledge of quantitative remote sensing · Knowledge of physical and statistical modelling concepts
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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partner, a global leader in the development and manufacturing of hard materials, who will perform nanoindentation experiments and provide in-depth materials expertise. How will you contribute? You will
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developed using synthetic experiments through soil-canopy reflectance, thermal infrared, & surface energy balance modelling (e.g., SCOPE). Model-data integration methods will be used to derive LUE-WUE and gc
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interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and
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interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and