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Field
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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
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for a full-time, time-limited, 12-month, non-tenure track Research Assistant/Associate/Full Scientist, in the area of nonlinear and adaptive control. Initial appointment is for one year, with
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reliability and operational efficiency. Determining the optimal size and location of PSTs within a network is inherently complex due to the nonlinear and dynamic nature of power systems, necessitating the use
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friction dampers. The multi-harmonic nonlinear vibrations of bladed disks with friction dampers will be studied and optimised to reduce the vibration stresses. The overall goal is to develop and gain insight
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nonlinear control and optimisation to develop novel, bio-inspired neural networks that flexibly and robustly control locomotion in multi-limbed robots. "Self-organised clocks for reliable spiking computation
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correction. We focus on circuits containing elements that exhibit optical nonlinearities originating from atom-like N -level systems or bulk nonlinearities. Responsibilities Your primary responsibilities will
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Dynamics , Condensed Matter Theory , Cosmology , Crystallography , Dark Matter , Data analysis , EIC , Electron Hydrodynamics , electron-positron collisions , electron-proton collisions , Electronic Detector
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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What you'll receive You will receive: a minimum of $30,000 per year, for 3 years a QUT tuition fee sponsorship (for international students). Eligibility You must: fulfil our PhD admission criteria , including English language requirements (an IELTS score of 6.5 or above if English is not your...
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative