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with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a related field. You bring a strong analytical background and are proficient in areas like geometric
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Your Job: Analysis of market dynamics in the context of Innovation Ecosystems and Diffusion Theory Systematic integration of concepts from institutional, behavioral, and resource economics
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leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and
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trade-offs and maximizes synergies between landscape services. In this PhD project you will develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first
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Supervisors Primary Supervisor - Dr Calum Williams Secondary Supervisors - Dr. Maciej Dabrowski , Prof Simon Horsley This PhD studentship will develop 3D-printed optical metamaterials to control
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that the programme will combine ideas from a broad range of disciplines, including machine learning, control theory, differential equations, port-Hamiltonian systems theory, modelling of power systems, digital signal
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Physics , QCD , Quantum chaos and thermalization , Quantum Computation , Quantum Computing , Quantum Condensed Matter Theory , Quantum Control , Quantum Devices and Sensing , Quantum Dynamics , Quantum
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develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first explore promising synergies in landscape services provision and analyse how to optimally align
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are offering a fully funded PhD position in the field of Physics-informed Learning-based Control. This interdisciplinary research area bridges control theory, machine learning, and physics-based modeling
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://www.academictransfer.com/en/jobs/354978/phd-position-theory-of-learning… Requirements Specific Requirements You hold an MSc in physics, engineering physics or mathematics. You have a good command of analytical techniques