130 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Ulster University
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intraoperative feedback on these risks. The project will combine biomedical engineering, signal processing, and clinical collaboration to design a non-invasive ultrasound monitoring system capable of quantifying
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networks, enabling stress-testing of compliance systems against threats that do not yet exist in operational data. Working with Pytilia, a RegTech compliance technology provider, you will complete three
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engineering/electronics engineering, or a related field will be advantageous, along with knowledge of the following: *low-power circuits/system design for ASIC, *Verilog based FPGA based system design
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reinforcement in both the site of the insertion of the tufting yarn and between the tufts, whereas z-pinning does this at the site of insertion. 3D wovens involve layering and interweaving fibres in a computer
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generator (Python toolkit), evaluation metrics suite, and academic papers in top finance and information systems venues. We welcome applicants with backgrounds in computer science, data science, or
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. These benchmarks will help build confidence in the technology and support its adoption. The research will focus on: Pre-treatment and characterisation of the electrolysis process from FVW Modelling the entire green
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Summary Applicants are invited to undertake a 3 year PhD program in partnership with a global leader in blood- and cell-based therapies (Terumo Blood and Cell Technologies Ltd). This opportunity
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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading
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applicants from diverse academic and professional backgrounds, including (but not limited to): Film, Television, and Media Studies Artificial Intelligence and Computer Science Creative Arts and Practice-based
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R