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along with many aspects of engineering, technology and mathematics. We have a worldwide reputation for academic research with consistent top research ratings. The Department has an open and collaborative
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) in mathematics, computer science or a related discipline. This research is interdisciplinary. The candidate must have strong expertise in at least one of the following areas (1) or (2), and a clear
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
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with the Department of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University. You will
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis
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of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University. You will contribute to the development
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conducting a comprehensive literature review on existing knowledge and understanding relating to vacuum arcs, leading the establishment of a mathematic model for metal vapour arcs burning in vacuum background
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, profilometry and AFM. You should also be familiar with theory of plasma discharges and have the background required to extract plasma parameters from plasma diagnostics data and with methods to perform time