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The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of the Microbiome (https
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order to better understand, explain and advance society and environment we live in. Your role The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg
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of sustainable technologies that positively impact society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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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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training unit: https://www.list.lu/en/research/project/forfus Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Your PhD work will focus on outdoor forest
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-data integration, data analysis and working with HPC. Scripting and programming experience are essential. · You like working in a team, explaining and presenting research ideas and results
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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
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modeling, model-data integration, data analysis and handling large eddy covariance flux database. Scripting and programming experience are essential. ·You like working in a team, explaining and presenting
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of ultra-fast MLIPs to simulate the nanoindentation of cemented carbides, a material of industrial relevance, in agreement with and beyond experimental nanoindentation results. Education PhD in materials