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Field
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Abstract: Condition monitoring of industrial equipment, such as turbomachinery, is a complex task that requires accurate and efficient data collection but is often hindered by the equipment's size
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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of the processing system online. Our approach will be to draw on a broad selection of tools including (deep) reinforcement learning, queuing networks, online algorithms and systems engineering. In addition, a large
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. This project will focus on learning about patient experiences and exploring clinical data to improve the care of patients living with kidney disease. What is involved The aim of this research is to improve
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) cluster , which the student will use for their research. The student will also have access to large HPC systems run by DIRAC . The student will be trained in using HPC by the supervision team and at
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. when do we stop modelling? How do we track / score the quality of the model What is the required level of quality over time How can quality be brought to the required level Can Machine Learning, Large
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(Southampton and Denmark), and participation in large-scale testing in Denmark to validate industrial applications of your research. This project is an excellent opportunity for candidates who are interested in
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the English Language. More information can be found here . We offer you Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement include: partially
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Chan Aung, Dr Myra Thiessen, and Dr Indae Hwang Industry Collaborators: Micro-X Inc. (SeaTac, WA) and ARPA-H (USA) Setting: Embedded within a large-scale, international, design-engineering-clinical
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. Our most recent project is to characterize the function and genetic control of root anatomical traits in maize to enhance drought tolerance. This PhD project is part of a large consortium, including