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including text mining, machine learning, network science, choice modelling, causal inference, and agent-based modelling with the aim of developing deeper, mechanism-based understandings of important social
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medicine, irradiated materials, waste management, space exploration, and mining. By bringing together experts from various fields, the Centre aims to drive innovation, develop a skilled workforce, and
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Mines de Paris, Université Marie et Louis Pasteur, Rheon Labs, ANSYS, and the National Physics Laboratories. The PDRA will also attend national and international conferences to develop experience and
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of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students
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Mines de Paris, Université Marie et Louis Pasteur, Rheon Labs, ANSYS, and the National Physics Laboratories. The PDRA will also attend national and international conferences to develop experience and
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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will join a multidisciplinary team to work on cutting-edge research projects to develop and apply data mining/machine learning approaches on high dimensional biological and clinical datasets. The initial
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fosters cross-disciplinary and cross-industry collaborations, focusing on areas such as medicine, irradiated materials, waste management, space exploration, and mining. By bringing together experts from
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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of agricultural in dry lands and marginal environments, animal value chain, water and energy sustainability, biorefinery and bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining