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Field
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Responsive Sensing and Analytics team specialises in developing efficient and scalable algorithms designed to equip emergency services with critical safety information and analytical insights. Leveraging
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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Your Job: Agile development, maintenance, coordination, testing, distribution and deployment of the open-source, community-driven Elephant neural data analysis software - https://python-elephant.org
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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Data Research Network Canada (HDRN Canada), a research-enabling, distributed network that supports multi-regional, person-focused research. The work of HDRN Canada is supported by a seven-year, $39M
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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System applications, system/segment/payload system architectures and performance, signal-in-space and signal processing, GNSS receivers, algorithms, OD&TS, formation-flying and radio frequency/optical
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experience will NOT substitute for education requirement. Preferred Skills Deep understanding of data structures, algorithms and design patterns (GoF) 8+ Years of Java, J2EE and web/internet/service based
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edge AI for localized knowledge preservation; AI governance and data sovereignty in digital heritage institutions and collections; study and design of recommendation systems and ranking algorithms used