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Field
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cultures drive research that reshapes our understanding of the universe and our place within it. SFU researchers explore natural phenomena on multiple scales from the subatomic to the cosmic, from a single
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for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
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algorithms and techniques for advanced manufacturing applications. The group consists of highly talented experts in image/signal processing, mechanical engineering, data analytics including artificial
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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, Depmap, etc. - Experience with classical machine learning algorithms. Desired Attributes: - Demonstrated ability to work collaboratively and in a team-oriented environment. - Evidence of strong
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Description Professors Samreen Malik, Jordan Norris, and Alaïs Martin-Baillon at New York University Abu Dhabi are seeking a full-time Research Assistant (RA) to support multiple ongoing research
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discover how we can advance health together. Access Specialist II (Float Specialist) Job Description Position Summary Performs various appointment and access-related dutiesacross multiple scheduling teams
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and associated algorithm definition/validation, relevant instrument simulators, quick look systems, the call for proposal system and mission planning systems; Monitoring and supporting the ESA SOC-led
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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learning. At least five (5) years of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability