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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide data science and AI/ML modelling support for strategic healthcare AI projects, including clinical
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knowledge of HPC technologies, including high-performance computing hardware, parallel file systems, job schedulers, and cluster management software. Proficient in scripting and programming languages such as
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parallel, work to firm deadlines, and follow through on external dependencies. Meticulous, detail-oriented approach to record-keeping and documentation. Ability to work independently, take initiative and
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parallel and GPU computing is most desired.PX4, Pixhawk or equivalent. Ability to work well with team members and good communication skills are essential. To apply, please send your cover letter, CV and
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implement ensemble learning algorithms and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency
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under realistic operating conditions. In parallel, SIT works closely with the maritime ecosystem on decarbonisation and digitalisation. Through its Future Ship and System Design Programme and partnerships
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electromagnetics A good understanding of the physics of scattering and antenna radiation Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired More Information
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to handover. In parallel, you will handle key operational functions such as smartcard/door access administration, maintenance coordination with university-level estates administration, undertake some planning