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Field
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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programming, parallel computing, and bioinformatic and statistical genetic software packages. Experience in working with genomic and proteomic data available for large extended pedigrees. License
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operation of the college’s information systems and technology. The IT Professional will maintain instructional computing labs as well as provide technological support to students, faculty, and staff in
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development teams to fulfil business requirements. You will: Take technical ownership across all stages of software development within the Tuihono UC distributed ecosystem. Design, develop, and maintain
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the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral
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Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. • An excellent
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: Information Systems Engineering: retrieval, knowledge representation, requirements specification, applications programming Health Informatics Artificial intelligence and cognitive models Sequential, parallel
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device efficiency. There will be an opportunity to learn the tools required for parallel computing using graphical processing units. This will be used to maximise the computational throughput to enable
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future position is in the Research Group Scientific Computing at the Faculty of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and
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Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems