586 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Sheffield
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of male quality. Specific questions and approaches taken can be tailored to the particular interests of the student, but objectives could include: (1) Applying cutting-edge genomic methods to study the
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to contribute to and co-lead complementary mixed methods research outputs: conference abstracts, presentations and publications associated with the programme. Contribute to dissemination of findings in tailored
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exploring how methods used in one discipline can be beneficial in another, the research seeks to foster interdisciplinary collaboration and advance the use of TDA in cutting-edge scientific research
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high-dimensional datasets that hold promise for earlier and more accurate diagnosis. These are often analysed with modern computational approaches such as machine learning, which can highlight hidden
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Strong analytical, computational, and statistical skills for high-throughput data analysis. Essential Application/interview Familiarity with bioinformatics pipelines and data integration methods. Essential
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for the subset of the data, the student will refine methods to quantify subtle facial dynamics such as asymmetry, latency, and restricted motion. This will involve the use of advanced computer vision techniques
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to plasticity. (assessed at: application/interview) Experience in computational mechanics, especially numerical methods for solving field equations relevant to material mechanics, i.e., Finite Element schemes
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Multi-modal Understanding of Human Heart (S3.5-COM-CChen2) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Chen Chen, Prof Andy Swift Application Deadline
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temperature sensor system Develop a robust offline calibration method for sensor accuracy Implement sensor integration and real-time data acquisition Create and validate intelligent predictive models using real
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of degradation and fault mechanisms that occur in real systems. This project, undertaken in collaboration with Rolls Royce, will develop new information-theoretic methods to identify the mechanisms behind