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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 10 hours ago
the Signals Intelligence (SIGINT) and Cyber missions. You’ll learn and apply advanced cryptanalytic and cryptographic techniques to defeat encryption or to design and evaluate cryptographic algorithms and
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry
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Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications of computer science in life science Previous
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: Desautels Course Title and Course Number: Enterprise Data Science: Concepts and Algorithms/Enterprise Machine Learning in Production INSY 674/684 Estimated Number of Positions: 1 Total Hours of Work per Term
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foundry; Interacts with a team of graduate students and postdocs to investigate qubit properties and demonstrate novel algorithms with support from theory partners; Contributes to the preparation and
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 hour ago
including a semi-industrial foundry; - Interacts with a team of graduate students and postdocs to investigate qubit properties and demonstrate novel algorithms with support from theory partners; - Contributes
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findings regularly. Prototype algorithms, validate outputs, and document methods clearly Collaborate asynchronously with an international team, present findings regularly Experience with remote sensing
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
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, developing, and implementing innovative machine learning models and algorithms to drive insights from the hEDS*omics multimodal dataset, encompassing clinical, environmental, and multi-omics data. This role