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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc) Location King Abdullah
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real-time process signals. Using battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven
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with data-acquisition and control workflows in collaboration with experimental researchers and engineering collaborators. Maintain clear documentation of datasets, model architecture, software
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> on research projects related to kinetic equation and its related multiscale model reduction, numerical method, and data-driven/machine-learning approaches, including: • Numerical simulation of kinetic
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Proficiency in GUI development (e.g. using Python Dash , Tkinter , or web-based frameworks ) Experience working with data-driven simulation and model validation in power grids (Ph.D level is mandatory
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The University of Manchester has a strong history of research into offshore renewable energy, with leading international activity in wave hydrodynamics and computational engineering. We are here
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intelligence of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to
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successful applicant has a PhD degree and background in mechanical engineering or similar. Research experience on photonics and affinity with data-driven methods are a pre. Good spoken and written
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of osteoinductive scaffold development in bone tissue engineering. Our three objectives are a) to rationally engineer hydrogels tuned to the specific mechanical requirements for osteogenesis b) to
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), target and pathway modulation (PD), and tumour dynamics, with EGFR- and KRAS-driven non-small cell lung cancer as the flagship setting. A complementary stream applying machine learning to