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Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which
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Posting Details Position Information Job Title Postdoc and Graduate Students (Master’s and/or Ph.D. levels) Positions at the Intersection of AI and Neuroscience About the University It’s your time
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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investigate the conditions that support forest recovery after a fire. The study areas can be defined using global forest fire maps from 2000–2023, provided by Hansen et al. The relaunch of GEDI provides
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. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual annotations). The research will be conducted
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communication skills an early career researcher with publication record, presentation skills and commitment to research integrity equipped with excellent software skills and hands-on experience with deep learning
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processes are important for the delivery of soil functions in these farms and how management practices shape these processes. Your work will help define potential soil indicators for success in the transition
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
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cutting-edge data science? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the PhD