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Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automation of tool wear measurement and data
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interest in sustainable energy Quantitative skills and experience with data mining and handling big datasets Excellent communication skills, both in writing and oral presentation Open-minded team player
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develop protein-based solutions. Manage a multidisciplinary research team, including post docs, PhD students and Msc students. Supervise and guide the team’s research projects related to novel protein and
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidate will be made by Professor Lars Jelsbak and Post Doc Carlos Neftaly
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conceptual framework linking nanoscale features to macroscopic adsorption efficiency. Generate and curate high-quality datasets to support data-driven materials optimization and future integration with AI
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Job Description If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is
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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing