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candidate will perform prioritized Non-Targeted Assessment across diverse water matrices and case studies, while the AI4Science PhD will develop machine‑learning models that learn from and build upon
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We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is embedded in a broader
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Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX
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nutrient uptake. Despite its importance, this underground system remains insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and
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work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your role This PhD project focuses on understanding how altered stress granule
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Networks for MLFFs Implement and test uncertainty-aware loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting
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Mathematics, Physics, Computer Science, Engineering or another quantitative subject are particularly encouraged to apply. Language Requirements: Applicants must demonstrate at least B2-level proficiency in
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· A PhD in an engineering discipline is mandatory. Experience and skills · Proven programming expertise in Python is necessary; knowledge of other programming languages are additional assets
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. Our research brings together social theory, empirical studies guided by a range of interpretive methodologies, and the critique as well as advancement of interventions and social policies. We
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, funded by the Fonds Nationale de la Recherche Luxembourg (FNR, INTER/DFG/25/18860401/ATTUNE) and the German Research Foundation (DFG). Studies show that the foundation for the negative aging attitudes