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Field
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an exciting opportunity to a graduate with the relevant skills and knowledge to develop and implement machine learning techniques to derive new-to-sector advanced insights from Aids to Navigation maintenance
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quantitative data analysis methods such as machine learning and behavioural classification in ants is essential. You will be ideal for this position if you are well-organised, eager to learn new skills and
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in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs
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researchers with academic experience after completion of their PhD, and who could demonstrate: Significant research and teaching experience in biotechnology / biochemical engineering. Knowledge and familiarity
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Contribute to the supervision of junior researchers and students as opportunities arise A PhD in a relevant quantitative discipline (e.g. mathematical modelling, geo-statistics, machine-learning) Experience
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of antiviral host-mechanisms and comparative virology datasets, including those derived from transcriptomics experiments. The role will also involve the application of machine learning approaches to virus
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, including solid-liquid interfaces, rheology, fluid dynamics across scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in
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The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Signal Processing & Machine Learning. Candidates must hold a Ph.D. in this field or a closely related field
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culture or legal practice-oriented and legal skills teaching. These posts are open both to those with a research background and to those with legal practice or teaching and learning experience who will be
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internationally excellent research and innovation portfolio. We offer programmes across Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, and Electronic and Computer Engineering