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Field
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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, with software development experience in multiple programming languages, including Python and R. Next generation sequencing bioinformatics knowledge, preferentially with previous cancer and clinical
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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and reproducible research, e.g., in the development of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well
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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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: Develop electromagnetic transient models for bulk power systems, power electronics-based resouces (e.g. HVdc, solar PV inverters), synchronous generators, loads, etc. Develop simulation algorithms
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approximately 32,700 students in total enrolled with the University around the world. The Opportunity: Embry-Riddle Aeronautical University in Prescott, AZ, invites applicants for multiple adjunct faculty
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Extremes (CW3E) is leading the development and implementation of new research and applications capabilities focused on extreme weather and climate events in the Western US. CW3E is developing and