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Field
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areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory. Our ideal candidate already has experience with modern methods in probability theory
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comprehensive approach to examining the theoretical underpinnings of facial age estimation and its application to real-world security settings. The project will use experimental methods in cognitive psychology
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scientific conferences, meetings, and workshops Share own knowledge with other members of the group and the Department Contribute to introducing new lab members and students to scientific methods Contribute
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administrative duties and provide guidance in machine learning methods to less experienced members of the research group, participate in the dissemination of research outputs, and carry out collaborative projects
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apply a range of statistical methods to existing datasets or to data collected by own field observations and experiments. In addition, we have a focus on the development and application of predictive
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new methods to detect and understand this disease Travel to different medical centres as needed About you We're looking for someone with: A PhD (or nearly completed) in bioinformatics, computational
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machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other
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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical
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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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to research Desirable Experience with nonperturbative methods Experience with conformal field theory and holography Experience with scattering amplitudes Experience with thermalization and quantum chaos About