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Field
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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive
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multiple priorities and a multi-disciplinary environment. Qualifications: Minimum Bachelor’s Degree in Machine Learning, Data Science, or Statistics, or another field of science or engineering with relevant
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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Sciences of Harbin Engineering University invites applications for multiple full-time open-rank positions in areas of Quantum Information and Quantum Computing. These include postdocs, tenure-track
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research activities, assists in preparing human subjects protocols, manages and analyzes data across multiple projects. Contributes to building traditional statistical models and machine learning algorithms
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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and conduct project debrief meetings with the clients. Student Engagement and Project Definition Engaging students in successfully executing multiple projects, with multiple teams, serving multiple
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creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences). Applies basic application of computational tools and
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: Develop electromagnetic transient models for bulk power systems, power electronics-based resouces (e.g. HVdc, solar PV inverters), synchronous generators, loads, etc. Develop simulation algorithms
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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