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data algorithms. Experience in organizing, coordinating, and managing research projects as evidenced by a minimum of five grant-based research programs. A clear understanding of the academic research
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, lists, maps. Program structure: control flow, functions, classes, objects, methods. Algorithms and problem solving. Searching, sorting, and complexity. Unit testing. Floating-point numbers and numerical
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
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research that leverages big data, machine learning models and data algorithms. Experience in organizing, coordinating, and managing research projects as evidenced by a minimum of five grant-based research
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lead and support research and development of algorithms for automated wildfire detection, tracking, and alerting systems using real-time or near-real-time data. Integrate systems with UBCO’s backend
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and Abilities Knowledge and experience with bioinformatics algorithms and genomic data analysis pipelines Knowledge of software for genomic data analysis Education, Certifications, Licenses Education
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promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning