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? Join an interdisciplinary PhD project that uses large-scale viral genome and epidemiological data to develop predictive theory for rapidly evolving viruses. You will work at the interface of theoretical
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, Computer Science, Nanobiology, Mathematics, Bioengineering or a related discipline Interest in statistical physics, stochastic processes and data analysis methods Interest in engaging and collaborating with
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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ideas realized and tested on real silicon. How you will work Your research will combine theoretical analysis, behavioral modeling, and practical integrated circuit design. You will use advanced CAD tools
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. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Computational geometry is the area within algorithms research dealing with the design and analysis
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real-world challenges faced by industry, governments, and society within the international STRUCTURE project? Information The PhD candidate will work within the international research project STRUCTURE
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) detection and Uncertainty Quantification (UQ) methods for Earth Foundation Models. By mathematically flagging when incoming data represents a never-before-seen anomaly, you ensure the foundation model does
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, functionality, and performance. You will join a team consisting of five other PhD researchers and colleagues from two additional departments (Electrical Engineering, and Mathematics & Computer Science). The team
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order to be successful, you bring: MSC in Computer Science, Physics, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good