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mission. You will: Help collate data resources relevant to suicide and self-harm. Develop new machine learning methodologies (from artificial neural networks, decision trees, evolutionary algorithms and
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timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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, closed-loop algorithm development, or clinical neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python
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used by the research team and will test the algorithms already developed by the laboratory and improve them on the basis of their performance to recognise drug induced cell morphologies About You You
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation
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, closed-loop algorithm development, or clinical neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python
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the team. These include the use of Tensorflow, PyTorch and Python. You will work with large imaging datasets commonly used by the research team and will test the algorithms already developed by
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society. For over two decades, OII has led the field in exploring how innovations such as generative AI, machine learning, algorithmic platforms, and autonomous systems are transforming economies