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skills Biomedical Data Science UG degree: List A List B Introduction to Medical Ethics Python language programming Probability theory, statistics and Bayesian analysis Artificial intelligence in Medicine
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is influenced by multiple parameters and strongly coupled with the solidification process, and its evolution and quantitative mechanisms remain poorly understood, which poses a key bottleneck to
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, or ability to learn quickly) and/or symbolic/numerical computation (Mathematica, R, Python). • Fluency in scientific English (reading, writing, speaking) is essential to interact with the project's
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. research builds upon recent advancements in multi-agentic AI systems. Processing and integrating multiple data modalities will also be key to the research objective of developing dynamic and intelligent
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approaches across multiple crop species, the project will help identify candidate genes relevant for crop research and future breeding strategies. The results will also provide new insights
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framework provides a unified formulation of physical processes across multiple scales. The research work will be structured around three main tasks: Mathematical modelling of coupled THMC processes within a
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unified formulation of physical processes across multiple scales. The research work will be structured around three main tasks: Mathematical modelling of coupled THMC processes within a consistent
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construction. The PhD research will focus on the development of design approaches for building elements that can meet functional performance criteria across multiple lifecycles enabling reuse; adaptability; and
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tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and present
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, by integrating image analysis and docking across multiple structural states. The new tools will be validated through their application to VCP/p97 data, a key protein that plays a central role in