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Field
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analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
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education in research specialization with advanced knowledge of equipment, procedures and analysis methods. Strong background in computer programming, mathematical modeling is required. Preferred Education
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analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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The Role Applications are invited for a three-year postdoctoral position within the Applied Mathematics research group, to start in July 2025. The position is funded by a UKRI/STFC grant to
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such as mathematical physics, by the time of hire is required, along with a strong background in complex analysis of several variables, elliptic PDEs, and asymptotic analysis. Excellent verbal and
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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of mathematical analysis and complex systems, focusing on cutting-edge problems in the dynamics of strongly interacting systems. The role is ideally suited for researchers with expertise in one or more of the
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decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working