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, applied mathematics, computational biology, mathematical epidemiology, or a related quantitative field; you have strong training in at least one of the following fields: stochastic processes, statistical
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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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, 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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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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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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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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) 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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Description Do you like applying mathematical theories in practice to solve real-world challenges? Do you like working with top-notch, internationally recognized industrial partners? Would you like to push the
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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