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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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statistical models for the dynamic prediction of survival outcomes in complex longitudinal studies” under the supervision of dr. Mirko Signorelli. What you will do The Mathematical Institute of Leiden
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). Additional project costs will also be provided. Overview Bone regeneration relies on more than bone growth; it depends on a complex dialogue between immune and skeletal cells. When this communication falters
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systems of the future. What are you going to do? The increasing complexity and ever-tighter performance requirements on systems such as occurring in high-tech manufacturing, autonomous vehicles, and smart
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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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value. Yet these trade-offs remain poorly quantified in complex urban landscapes. This PhD will investigate how urban blue networks can be optimised for both ecological resilience and community wellbeing
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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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-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