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to advance the following research aims: Understanding how children and young people’s strengths, aptitudes and interests can be identified and capitalised on to promote good mental health and development
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background in machine learning and statistics, who are eager to contribute to cutting-edge methods for generating private and fair synthetic data with good utility. This project involves development of deep
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, Biotechnology, Bioengineering, Veterinary Science or related field. Prior experience in animal work with tissue processing/histology or AI/bioinformatic analysis is highly preferred. Prior experience in the areas
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. Responsibilities include: Conducting independent and collaborative research in environmental remote sensing, catchment processes, and geospatial analytics. Utilizing multi-source remote sensing datasets, with a
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including the Code of Practice/Ethics and the confidentiality of the results management process Experience and competence in the analysis of chemical and biological material for substances and methods used in
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. Possible research questions include how founders narrate and attribute their ventures' outcomes; whether they treat what they learned as specific to their case, or as broadly applicable lessons, ones
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in electrical and electronic engineering, communication engineering, signal processing, radar engineering, remote sensing, or related discipline. Strong publication record and hands-on experience in
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reviews. Publish research findings in top-tier journals and conferences in relevant fields (e.g. human-computer interaction, human factors, ATM). Contribute to research proposals, technical documentation
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monitoring. Analyze ambient and anthropogenic seismic noise to infer near-surface properties and detect geohazards such as sinkholes and subsidence. Build scalable pipelines for processing, quality control
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- people and/or how they can be targeted to deliver effective, accessible and inclusive interventions to promote good mental health or prevent or treat mental health problems in children or young people