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Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working
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engineering. The research unit Discrete Technology and Production Automation (DTPA) is focused on the dynamical modeling, analysis, mechatronics and control of complex electro-mechanical systems
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and data-driven approaches to improve model performance and interpretability, incorporating uncertainty quantification across a range of scenarios. Other responsibilities include publishing findings
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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information see https://www.kuleuven.be/personeel/jobsite/jobs/60473129 Job description Design and implement chemometric and machine learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify
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, Engineering and the Built Environment Application Deadline: 14 July 2025 Job Duration: 12 months Birmingham City University (BCU) a leading institution committed to Equality, Diversity, and Inclusion (EDI
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IAQ. Designing and conducting energy, IAQ, and economic simulations of novel control systems. Aggregating, synthesizing, and interpreting HVAC system data from field sites. Developing data-driven models
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national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) addresses data-driven methods to gain
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data-driven infection research, such as the development or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with