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and teaching experience in areas such as Computational Social Science, Argumentation Mining, Applied Communication Sciences, Natural Language Processing, and Social Data Science. The successful
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and teaching experience in areas such as Computational Social Science, Argumentation Mining, Applied Communication Sciences, Natural Language Processing, and Social Data Science. The successful
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processing and statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; Work on sleep datasets
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role will cover a range of disciplines across the faculty including Geography, Geology, Ecology and Conservation, Mining and Engineering. The role will be varied and fast paced. There will be a
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. Using metagenomic sequencing of microbial communities from lithium-rich environments, including samples provided by industry partners (Cornish Lithium, Llamara), the student will mine environmental
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, computer engineering, information management, logic and automated reasoning, machine learning and optimisation, and text mining) and in several interdisciplinary fields (e.g nanotechnology, bioinformatics
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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techniques employed include high-throughput cell based screening, flow cytometry and preclinical treatment models. Informatic approaches include data mining and manipulation of large pharmacogenomic matrices
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acquired in recent postgraduate training (PhD or MSc). Those with a suitable background in subjects such as mathematics, statistics, computer science, causal or translational epidemiology, data mining and
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system-level visibility. Combined with data-mining methods and embedding techniques, these approaches create opportunities to generate more informed and efficient design solutions. Aim The PhD will focus