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measurement methods. These procedures target the assessment of steel properties for reuse in a new construction. Besides experimental work in the laboratory, machine learning will be employed to develop
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) and the Institute of Historical Research (IHR) as well as the University’s leading centres of research and learning in urban history, culture, design and theory, including the Bartlett School
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their dynamics to be formulated as systems of linear ordinary differential equations. Bayesian Optimization and Reinforcement Learning methods will be employed to solve the inverse problem of shape and flexibility
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of analysis pipelines Development, maintenance and application of programming scripts for omics data analysis and creation of network and machine learning models Data integration support for analysis pipelines
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pipelines, as well as developing new algorithms and data-processing routines. This relates also to new methods such as wearables, markerless motion capture, machine and deep learning (ML/DL) and artificial
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(NIMS, Seagate). The student will be trained on a femtosecond laser bench, and learn extensively about aspects such as spintronics, ultrafast optics, near field microscopy, material growth and clean room
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-learning models for patient stratification and outcome prediction. Moreover, complex multi-layered datasets shall be integrated into clinically actionable biomarkers and decision-support tools that underpin
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented