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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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. Requirements: university degree in Computer Science, Physics, Engineering, or a related field strong background in relevant research areas genuine interest in research and a high level of enthusiasm
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for human wellbeing. Your main responsibilities will be to conduct literature research, develop associated methodologies, collect and process data with said methodologies. Moreover, the candidate will write
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Marie Skłodowska-Curie Actions (MSCA) COFUND doctoral programme INNOCHEMBIO (https://taltech.ee/en/innochembio), which is co-funded by the European Union (Grant agreement 101217295), offers 15 PhD
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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ You will be hosted in the Process Modelling, Automation and
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Duisburg-Essen is seeking at the Duisburg Campus in the Faculty of Physics Doctoral Researcher (f/m/d, Nr. 326-25) salary group 13 TV-L Location: Duisburg Application area: Faculty of Physics Start of
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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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resume with professional and technical skills, and exploring the scientific and cultural diversity in Europe and North America? The graduate training program in Scalable 2D-Materials Architectures (2D
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a powerful way for assessing forest stress and disturbances over large areas and to monitor forest vitality over time. This research uses remote sensing technologies together with physical models and