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of Vienna). About the position: Lead the research group focusing on hybrid quantum algorithms, quantum neuromorphic computing, and quantum machine learning Build your own team (PhD students, postdocs) 4-year
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The SnT is seeking a Postdoc to support the research and development work within the SEDAN group. We seek a candidate with expertise and/or interest in the following relevant fields: machine
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members have been working on statistics learning, granular computing and knowledge discovery, machine learning, deep learning, and specifically interpretable artificial intelligence. Many innovative
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, postdocs, and staff, and is looking to expand its team to support the growing division. We are committed to a collaborative and supportive work atmosphere that values and provides opportunities
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inference, longitudinal methods, survival analysis, regression modeling, machine learning, or prediction modeling are required, as well as experience with statistical software such as R, SAS, or STATA. Prior
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Date April 17, 2027 At UBC, we 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
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner
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desirable. Demonstrated expertise or familiarity in advanced data analytics and computational methods, including data driven modeling, machine learning, and/or artificial intelligence applied to large
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., APIs, web scraping), and/or with experience in applying at least one advanced analytical technique, such as topic modeling (LDA, STM), sentiment analysis, social network analysis (SNA), machine learning