204 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs in Canada
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also ranked as the world's best student city (https://www.topuniversities.com/student-info/university-news/montreal-named-worlds-best-student-city ). Qualifications: · PhD in a health-related
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believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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degree in computer science 2 years of experience in machine learning research and development Strong background in generative AI Expertise in deep learning, generative AI, reinforcement learning
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Liquid Argon Calorimeter system. Use novel high-level synthesis approaches developed internally (based on functional programming abstractions), to optimize the implementation of machine learning models and
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: Experienced in applying machine learning and data science tools (TensorFlow, PyTorch, pandas, NumPy, Scikit‑learn) to analyze and model complex atmospheric and environmental datasets. Proficient in multi
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quickly and accurately. High degree of computer literacy including familiarity with Microsoft Word, Excel, Zoom, Teams. Ability to learn new software programs such as REDCAP. Organizational and
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style Attention to detail Clear oral and written communication skills Experience and Education BSc in a related field with relevant coursework 1-2 years additional experience Background in NLP, machine
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-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous
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, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary
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biostatistics and epidemiology Expertise in quasi-experimental, econometric methods and other advanced methods (e.g., longitudinal data analysis, trial emulation, interrupted time series, machine learning