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Field
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enzyme class with applications in industrial biotechnology and drug development. The main model system is bacterial glucuronoyl esterases, which cleave ester bonds linking lignin and carbohydrates in plant
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient planning and coordination of production activities in supply chains and generate
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PERFORMED AND PURPOSE OF THE CONTRACT The selected candidate will work on the computational modeling and simulation of aquaculture cages to study their hydrodynamic and structural response under different
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interpret thermodynamic datasets describing element behavior under EAF and REF conditions Integrate experimental results into thermochemical models (e.g. FACTSage) to support process simulation and
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computer simulations Working in close collaboration with theoretical physicists to test models and develop new insights Your Profile Bachelor's degree in physics Master’s degree/diploma in condensed matter
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robust management of large traffic networks under all conditions. You have the most important role in this ambitious project as one of the young talents in our team. We have 2 PhD and one postdoc positions
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of the young talents in our team. We have 2 PhD and one postdoc positions, all of whom will be supervised by a highly experienced team of four (top) researchers in this field supported by a technician. You will
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optimal ways to schematize and parameterize the subsurface at local to regional scales to assess dike safety using geological and geohydrological data and models, for characteristic fluvial landscapes in
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components. You will explore how learning-based methods, such as imitation learning and reinforcement learning, can be integrated with model-based low-level controllers and multimodal sensing to enable contact
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large-scale omics datasets, develop and apply statistical methods and interpretable AI models, and contribute to the identification of biological markers and molecular mechanisms associated with disease