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affiliated with Columbia University. Duties and Responsibilities: Construct air pollution and meteorological data prediction models using machine-learning based methods Conduct epidemiologic analyses studying
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one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative
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or learning, predominantly intellectual in character. This knowledge is acquired by a prolonged course of specialized intellectual instruction. Experience: Intermediate (3 to 4 years job-related
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completed within the past five years, or close to completing, a PhD in aerospace engineering, computer science, artificial intelligence, systems engineering, software engineering or a related field, with a
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have submitted their PhD thesis. Applications within three years of obtaining a doctorate will be considered. In duly justified cases, applications falling outside this criterium may also be considered
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• PhD degree in STEM. • Proficiency in at least one mainstream deep learning framework (PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. Research
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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
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, coaching and mentoring, Self-Directed Learning Sets (SDLS) as future communities of practice, 360-degree feedback and monitoring, and a whole-school leadership and change initiative. The appointee will have
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for Science, and scientific discovery by advancing our understanding of interpretable machine learning models and their practical applications in real-world domains such as healthcare and science. Key
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findings at major conferences and workshops Contribute to the supervision and mentoring of PhD and Honours students About you You will hold a PhD in physics, materials science, engineering or a related