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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly
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characterization aspect of the project, i.e. investigation of dynamics during catalyst activation and reaction by in-situ transmission electron microscopy. VISION is pioneering technology for visualizing catalytic
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an efficient AI foundational exploration of the molecular space. How can we bias the generative models towards desirable molecular properties How can we integrate generative AI models and different molecular
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qualifications we are looking for: Excellent knowledge and practical experience on current molecular microbiology methods Experience with genomic and transcriptomics data analysis is beneficial. Experience with
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packaging, one that’s safer, smarter, and more environmentally responsible? We are looking for a highly motivated PhD student to join our dynamic, interdisciplinary research team. By joining us, you'll gain
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may lead to large fractures initiated by the micro-cracks created from the glass cutting. Responsibilities and qualifications The PhD project will explore the synergies between numerical simulations and
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with many opportunities for professional development and global networking. Responsibilities and qualifications We are seeking a PhD student with background and interest in enzymology, molecular biology
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renowned research group for Gut, Microbes, and Health at the National Food institute, Technical University of Denmark (DTU). We offer a dynamic and sociable research environment with exiting challenges and
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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projects partners. This requires good communications skills but also allows you to co-operate with leading European research institutes. Responsibilities and qualifications You will be part of a dynamic work