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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material
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exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material quality. Secondly, different machine learning strategies based on traditional supervised
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. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set
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No. 101227010 , at DTU Electro, the Technical University of Denmark, we are seeking a candidate for a PhD position to research novel noise characterization techniques for SiC optical frequency combs targeting
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frequency combs targeting their application in optical communication systems, dual combs spectroscopy and fibre-sensing. The PhD student will participate in an international team, consisting of 15 PhD
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survival and growth in naturally regenerating woodland plots subjected to different livestock grazing pressures. Activities include: (i) conducting targeted literature reviews to support the research
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, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
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student's primary field of training, we offer targeted feeder courses that are specifically designed to teach relevant basics to non-specialists. Depending on their background, life science students can take