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and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. CQT is hosted by the
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, Building Engineering, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing
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, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing, IoT integration, or
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, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing, IoT integration, or
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contact Dr. Sandrine Medves (email address: ). Your profile Core qualifications: PhD in relevant domains including Artificial Intelligence, Machine Learning, Deep Learning, or High-Performance Computing
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communities. Qualifications required PhD in one of the following fields: electronics and embedded systems, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the
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record data across UK Biobank, All of Us, CLSA, and the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments
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in cloud computing and utilizing data from the All of Us Research Program are particularly well-suited for this position. Outstanding U of A benefits include health, dental, vision, and life
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exploring some of our previous work in this area. In this role, you will have the opportunity to: Build the core decision platform at scale. Develop scalable, tested and documented local and cloud workflows
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science