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, information theory, clustering. Familiar with: computer science: tool development, 3D rendering, databasing, multi-threading, parallel port computing. Other qualifying skills & abilities: Excellent written and
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, multi-user software, and distributed or parallel computing is an asset. The ideal candidate should be well-versed with the fundamentals and state-of-the-art of EEG and MEG signal processing. Other
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consultants, electrical service upgrades to several buildings, and code upgrades in multiple buildings. Responsibilities within projects may include, but are not limited to, arranging service and utility shut
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for overseeing the UBC Sequencing and Bioinformatics Consortium's (SBC) analysis pipelines as well as compute and data management systems. This individual researches, analyzes and implements solutions to support
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they are recognized in ways that are meaningful to them and in alignment with institutional recognition guidelines Plan, implement, and manage a comprehensive donor recognition and stewardship program in parallel with
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communication skills are essential. The role demands handling confidential matters with politeness and respect while working both independently and within a team. The ability to manage multiple tasks and
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. International students are not eligible for the CGS M and should refer to Affiliated Fellowships Master's Program , which runs in parallel to the CGS M competition at UBC. Complete eligibility criteria
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: The Internal Program Academic Associate / Project Manager at the McGill Genome Centre / Victor Phillip Dahdaleh Institute of Genomic Medicine (VPDI) will be play a crucial role in responsible for overseeing and
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Research and Facilitation, Level C Job Title Research & Program Developer, SEEDS Sustainability Program Department Manager
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digital imaging, in vitro recording facilities, multiple in vivo ensemble single unit recording suites, dense-array and portable electroencephalography, optical imaging lab, dedicated parallel computing