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be utilized to optimize the human comfort in combination with energy efficiency. The first part of the PhD will be the optimization of a web application used to control a smart floor of a building. The
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practically in the lab using commercial rheometers, mechanical testers, polarizing microscopes etc., in addition to bespoke equipment built for establishing the controlled flow at tunable temperature and
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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their swimming dynamics and the mechanical deformations caused by the encapsulated active biomolecules, you will explore ways to control their motion in 3D space. Synthetic microswimmers have many potential
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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-centred operation (NCO) information, including positions, threats and airborne warning and control systems (AWACS). Streamlined and effective decision making in complex scenarios. Natural interaction and
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engines. The variable rotation speeds, complex loading and operating conditions cause significant blade vibrations. These vibrations, if not properly controlled and reduced, can lead to premature blade
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management