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the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in Bioinformatics/Computational Biology, or a related discipline, with extensive
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teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop
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this role, you will work as part of the world-class team of researchers and software developers within the PSS team to develop all or some of firmware, software and algorithms for pulsar and fast transient
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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degree in a biological science, health science, or related field, or equivalent combination of education and relevant experience. Proficiency in digital and computational pathology, AI/ML algorithms, and
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Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis
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comparison of predictive algorithms—such as Random Forest and LSTM neural networks—for use in genetic material recommendation systems. Working as part of Camcore’s data science team, the selected candidate
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 6 hours ago
: MAT344H5F Intro To Combinatorics (emergency post) Course description: Basic counting principles, generating functions, permutations with restrictions. Fundamentals of graph theory with algorithms
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with implementing these algorithms on fully error-corrected fault-tolerant quantum computers. About You The incumbent is expected to have relevant experience in developing quantum architectures, error
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 6 hours ago
: CSC409H5F Scalable Computing (emergency post) Course description: We investigate computation in the large -- utilizing many CPUs with large amounts of memory, large storage and massive connectivity