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access to cutting-edge research facilities. Integration into collaborative networks through admission to the Graduate School Forest and Agricultural Sciences (GFA). Opportunities for career development
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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processing) analyzing experimental results; developing conceptual models and parameterizations scientific publication and presentation working as an integral part of a motivated multidisciplinary team within
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, knowledge integration, KG completeness, commonsense-reasoning or similar preparation of publications for submission to top-tier NLP or AI venues contribution to teaching and/or local BSc./MSc. thesis
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team and willingness to integrate into an international working environment We offer the opportunity to work on an interdisciplinary, cutting-edge research project related to human nutrition a
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computational and AI infrastructure. Your Tasks: Developing a workflow in high-performance computational studies and integrating into a mixed fidelity experimental high-throughput platform Creating a data
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mechanics (QM / MM) molecular dynamics simulations using a Quantum Centric Supercomputing (QSC) approach [1,2] for the QM problem. This will be integrated within the in-house MiMiC framework [3] and applied
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research environment. Access to state-of-the-art equipment and facilities. Member of the integrated Research Training Group for dual mentoring, comprehensive doctoral training program, weekly seminars
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resilience, efficiency, and sustainability. By integrating real-time COD sensing into modern water management strategies, the initiative not only addresses critical scientific challenges but also contributes
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separately, yet a reliable, open-source tool integrating a shallow-water solver and a multiphase porous-media solver within the same framework is missing. Without this coupling, it is not possible to predict