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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Future ship and system design (FSSD) program develop strategic and innovative design capabilities
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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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About LJMU At Liverpool John Moores University, our students thrive because of the people who teach, guide, and inspire them, we truly make a difference. Every year, our commitment to exceptional
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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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teaching, particularly in the area of Machine Learning. In addition, you will be expected to contribute to the whole range of teaching and administration across the University’s data science programmes
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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languages and environments. Experience with machine learning and AI in biomedical settings would be considered favourable. You will also need a problem-solving ability to manage and analyse datasets and the
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training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
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of the following: cancer biology / cancer immunology / epithelial cell biology / evolutionary biology / genomics / statistics / mathematics or machine learning* Technical qualifications: For bench
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candidates who can evidence their experience with as many of the following areas as possible, preferably at least two: Interdisciplinary mathematical modelling Machine learning and/or other quantitative