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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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-generation smart factories. The candidate's technical skill set must seamlessly bridge: Control Theory and System Dynamics Machine Learning, Sensor Technology and Data Analytics, Mechanical/Electromechanical
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or information technology. The course will cover material that is relevant to health informatics and focus on the understanding of hardware and software systems. We will focus on the proper design and
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analytics (chromatography, Raman spectroscopy, Surface Plasmon Resonance, etc.) Data analysis Machine learning Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité
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Course Description: In Complexity of Clinical Care, the implications and practical application of the outputs of AI and Machine learning are discussed in class, and in select assigned readings. This class
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, integrating and interpreting them across modalities remains a fundamental challenge. The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 13 hours ago
computer technology and its application to course management (i.e. Quercus). Past teaching experience is a more relevant criterion than the need to acquire experience in respect of this posted position
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Tenure-Track Faculty Position in Microelectronics and Photonics (Teaching-Focused) The Department of Electrical and Computer Engineering Stephen J.R. Smith Faculty of Engineering and Applied
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position in experimental chemistry, with a preference for candidates able to teach in the areas of physical chemistry, inorganic chemistry or organic chemistry. The research area is broadly defined and
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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological