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: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems. In the context of Prof
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computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our
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: · Processing multi- and hyperspectral satellite and drone data · Collection of field data on relevant forest traits and laboratory analysis · Forest radiative transfer modelling · Hybrid
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will also be enrolled at the University of Luxembourg as a PhD Candidate. This position is part of the doctoral training unit FORFUS (https://www.list.lu/en/research/project/forfus ), associated with
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You will join the recently established Chemical and Molecular Neurobiology group led by Associate Prof. Ivana Nikić-Spiegel at the LCSB. Our research combines innovative approaches in protein
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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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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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cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners. As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated
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. The research project of the PhD student will thus focus on aggregating heterogeneous OSINT (Open-Source Intelligence) sources and aggregate retrieved data with cyber-risks indicators of the targeted environment
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud