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as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model
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external partners. Topics of particular interest include the novel development and application of machine learning models--such as large language models, multi-modal foundation models, agentic AI, embodied
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the vehicle fleet and the multi-objective design of the mixed transporation network. Our key hypothesis is that it is possible to design a mixed network by simulating how to serve a given demand with an
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31st October 2025 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Efficient Reservoir Simulation and Optimisation of Large-Scale CO₂ Storage
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within FlexMobility will focus on the underlaying assignment and routing algorithms for real-time operation of the vehicle fleet and the multi-objective design of the mixed transporation network. Our key
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will computationally explore catalyst materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models
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materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models to study reaction kinetics and improve catalyst
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conferences during his/her studies); Surcharge for the multi sport card; Support in obtaining a temporary residence card (+ Reimbursement of TRC application expenses); Language courses (Polish, English, German
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supervision of students. Additional Information Benefits You will receive a temporary position for 4 years. The gross monthly salary amounts a minimum of € 3.108,- and a maximum of € 3.939,- (scale OIO), based
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large pan-European research initiative that brings together researchers, clinicians, and patient communities. Your project focuses on analyzing multi-omics sequencing data from thousands of patients with