41 distributed-algorithm-"Meta"-"Meta" positions at University of Oxford in United Kingdom
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. This is part of an EPSRC-funded project on Algorithmic Comparison of Stochastic Systems. The post holder will work closely with the Principal Investigator, Stefan Kiefer, but also with other members of a
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Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis
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the European Research Council (ERC). The project aims to tackle central challenges in the fields of online algorithms and learning-augmented algorithms. Goals of the project include the advancement
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of the advertised post are to contribute to the BPAI project (as described below), with emphasis on probabilistic verification or programming for concurrency or distribution. This may involve probabilistic session
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immunofluorescence imaging. The successful candidate will support the design, optimisation, and analysis of multiplex panels to characterise the spatial distribution of immune and other cells within tumour tissues
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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calendars, the preparation and distribution of agendas and taking, transcription and distribution of minutes, and follow up of action points arising from meetings. You will be educated to at least A-Level
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot