20 machine-learning-modeling-"Linnaeus-University" PhD positions at University of Twente
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infrastructure managers You will be part of a multidisciplinary project with leaders in the domain of infrastructure governance and modelling. You will learn to conduct research independently and grow
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Vacancies PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery Key takeaways A hip fracture in older adults is
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of infrastructure governance and modelling. You will learn to conduct research independently and grow scientifically through collaboration with researchers from Radboud University, University of Groningen, and
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Vacancies PhD position in Numerical Modeling of Thermo-Mechanical Effects for High-Performance Mechatronics Key takeaways A PhD position is available at the chair of Precision Engineering at
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, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes. The PhD project will involve: The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and
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handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during forming. With
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Vacancies PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test Key takeaways Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC
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behavior, resolver interactions, and dependency modeling. This project builds on ongoing collaborations with both national and international partners, including SIDN and TNO in the Netherlands, CAIDA in
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-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals
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that you contribute to the development of the Renovation Digital Twin concept (led by Saxion). Essential activities within your project will be to: · model data standards for design of renovations