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Field
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industrial objects. Depending on the object characteristics and quality requirements, different capture systems are applied. Calibration of 3D scanning technologies is the critical first step for the accurate
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pipelines for high-throughput modeling over heterogeneous or sparse datasets. Conduct system profiling, model benchmarking, and empirical evaluation across different computing architectures. Explore novel
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Location: Bay Campus, Swansea Interview Date: 23 Jan 2026 Informal Enquiries About The University Swansea University is a research-led university that has been making a difference since 1920. The
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algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational
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pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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Australia Application Deadline 18 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This post-doctorate is part of the ANR DEEP-SENS (Demystifying
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both