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on clinical, genomics and functional dependency data (CRISPR, drug screens). Brain tumours represent the second most common cancer and the most common solid tumour in childhood in general. Paediatric brain
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evaluation will be conducted to assess the performance of these models, identifying their strengths and areas for improvement. Required knowledge Python programming Machine learning background
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of criminal organizations. Required knowledge Graph Theory, Machine Learning, Python programming
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or environments. This approach enhances surveillance capabilities, offering a means to attribute suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background
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for detection purposes, this project also involves collecting and/or generating different datasets for experiments. Required knowledge Python programming Machine learning background
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
prototype A prototype that can support secure code review by producing patch trust scores and review recommendations. Required knowledge Essential Python programming, Machine learning fundamentals, Deep
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. Analytical and Computational Skills: Demonstrated ability to analyse complex suspension flows, with proficiency in scientific programming (Python or MATLAB) being highly valued. Research Excellence: A strong
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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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enforcement, tourism, and transportation by automatically identifying and categorizing critical public spaces. Required knowledge Python programming Machine learning background
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)