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Field
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expand current technology to include automated live analysis, integrating machine learning algorithms capable of interpreting the complex behavioural patterns of mussels in response to environmental stress
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Are you eager to research and develop Visual Analytics techniques for Event Sequence exploration and analysis? Are you curious how to combine and explore the synergy between Visualization and
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-cell metagenomic analysis Single-cell metagenomic sequencing (scMetaG) can provide maximum-resolution insights into complex microbial communities. However, existing bioinformatic tools are not equipped
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on experimental analysis, theoretical understanding and predictive modelling of complex mechanical behavior in engineering materials at different length scales (e.g, plasticity, damage, fracture), which emerges
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the position Bioinformatic methods for single-cell metagenomic analysis Single-cell metagenomic sequencing (scMetaG) can provide maximum-resolution insights into complex microbial communities. However
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dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types
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management of bridge portfolios. You will create tools that transform complex data into reliable insights for infrastructure safety and sustainability. The project is a collaboration between the Engineering
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essential for identifying ecological tipping points and forecasting climate change impacts in complex marine ecosystems. This project will apply a multi-level approach (molecular, physiology and ecology
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PhD Scholarship PhD Opportunity in error correction codes for free-space quantum communications. This includes new analysis, design and decoding methods for error correction codes for information
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program on the aging brain in complex cognitive contexts, focusing on risky decision-making and spatial navigation. The first project investigates how the aging brain influences risky decision-making and