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a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities
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. Key Responsibilities Lead AI/ML algorithm development for predicting plant water and nutrient uptake under varying environmental and growth conditions. Analyze multi-source data, including aerial and
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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of Commercial Contracts law • Knowledge of Contracts Negotiations • Knowledge of Technology Products Analysis (algorithms, analog/digital devices • Knowledge of Venture Market Analysis /Venture Business Strategy
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efforts in the Algorithm and Harmonized Data Working Group and other Working Groups/Teams as necessary. Network and Research Administration Facilitates the operationalization of the Canadian Data Platform
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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Studies (PhD) Teaching in the age of algorithms: Resisting the algorithmic order through co-created sociotechnical experiments View All Stories Further Information Allocations Funding will be allocated