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of carbon materials, low-dimensional materials and others Multi-scale computation method development Data-driven experiments AI for materials science Multi-scale modeling for materials manufacturing mechanism
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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preliminary biochemical stability evaluation. The work may include the synthesis of the corresponding precursor by introduction of the appropriate leaving group. In parallel, exploration of new methods
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candidates who are interested in joining our team as PhD fellow. The position is available from October 1, 2025, or as soon as possible thereafter. The Ravnskjaer lab is headed by Assoc. Prof. Kim Ravnskjaer
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framework as part of a joint research program. What will be your tasks? One of our research areas focuses on the variability of coastal and marginal seas across different timescales. Proxy- and model-based
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, numerical information field theory, CMOS detector technology and UBIK (see https://arxiv.org/abs/2409.10381) Modeling & Simulation: Development of fast, accurate and differentiable digital twins of CMOS
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HPLC and other chromatographic methods) High competence in structure elucidation of natural products (1D and 2D NMR, HRMS, other spectroscopic and computational methods) Experience in writing first
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products (1D and 2D NMR, HRMS, other spectroscopic and computational methods) Experience in writing first author-publications, high publication track record in scientific journals and conference
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Head of the Epidemiology & Psychopathology Research Center with an Associate or Full Professor title
collaborators. The center is also in charge of the training in psychiatric research methods and provides expert advice to the researchers of the Psychiatric Department. Main missions: 1. Design and complete top
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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly