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(inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data
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. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
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+), particularly in active learning environments, and experience in teaching computer programming, data science, or software design. Preferred Qualifications: include a PhD in an appropriate discipline (as above
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to ensure the smooth operation of our large institutional dental clinic. This role requires exceptional computer skills, excellent communication abilities, and the capacity to prioritize tasks
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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, reaction prediction, condition optimization, retrosynthesis, interpretable machine learning, nature language processing for data-mining and human-robot interfacing, and generative models (e.g. GANs, VAE, and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming
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of sequence-defined polymers such as biopolymers Additional expertise that is desired (but not required): Automation Robotics and automation Machine learning to accelerate the discovery of molecules and
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and