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Building platform that combines Building Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium
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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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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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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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position combines MLOps engineering, research software development and technical coordination across cloud, High-Performance Computing (HPC) and federated research environments. A key focus will be the
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with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing platforms. Working knowledge of at least one of: GWAS, Mendelian randomization, fine-mapping, colocalization, polygenic
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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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. Experience building reproducible workflows and analytical pipelines, ideally using HPC or cloud computing environments. (For a full list of essential and desirable criteria please refer to the job
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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