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Field
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
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Role: Assistant Professor in Mathematics and Digital Learning Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week, Monday – Friday Contract: 24
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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and Responsibilities 1. Responsibility for the supervision of the PowerPlay conditioning suite, (19 Platforms, Technogym Resistance machines, Kettlebells, powerbags, climbing frame and other equipment
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and Responsibilities 1. Responsibility for the supervision of the PowerPlay conditioning suite, (19 Platforms, Technogym Resistance machines, Kettlebells, powerbags, climbing frame and other equipment
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problem‑based learning (PBL), applied learning including simulation, and a strong emphasis on early patient contact. You will to be responsible for designing and developing learning materials and will make
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning or a closely related discipline, OR near to completion of a PhD. Expert knowledge of statistical inference methods