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Field
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, queues, and pointers in the implementation of algorithmic techniques including recursion, divide and conquer, and dynamic storage management. Graded ABCDE SWE 535 - Software Architecture and Design
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 10 hours ago
metabolomics] research, with experience in the use of techniques in machine learning, statistics, algorithm engineering, bioinformatics, or advanced data visualization. Evidence of effective participation and
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other area related to GeoAI Working knowledge of and experience in core machine learning algorithms and specific applications in GeoAI In-depth knowledge of spatial/GIS programming, preferably in Python A
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meaning from data. Designing machine learning algorithms and undertaking testing for: predictive maintenance. operational performance and cost optimization. failure prevention and timely reparation of Aids
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of the novel methods created within our research group. Your primary tasks will include: - Assisting in the research taking place in our group. - Collaborating with our researchers to translate new algorithms
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/experience areas include: A Master’s degree in Electrical Engineering, Computer Engineering, or Mechanical Engineering GCC/Eclipse based toolchains Linux and embedded real-time operating systems DSP algorithm
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strategies, and cross-functional collaboration — shaping the future of quantum computing. We holistically address business-relevant challenges using innovative quantum computing algorithms and demonstrate
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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control systems, especially EPICS. Familiarity with synchrotron light science (e.g., ALS) preferred. Experienced in RF technology, magnetics, distributed controls, and algorithm design. Strong academic
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control systems and thermal protection for on-board actuation systems. The candidate will have a deep knowledge of smart material based actuators, mechanisms, advanced control algorithms, and thermal