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, economics, political science, communications) or computational sciences (e.g., computer science, informatics/information science, engineering, [applied] mathematics, statistics, physics) or related fields
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responsibilities include (but are not limited to) maintain lab protocols and computational resources, and general lab support. We are seeking a motivated individual with experience with mathematical modeling
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to undergraduate students in one or more of the following course subjects: biochemistry, biology, chemistry, computer science, data analytics, environmental science, mathematics, nursing and/or physics
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strategies to key partners and stakeholders. This position will play a critical role in the growth of our organization by providing analytical support and insights that aid in strategic business planning and
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: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. 2+ years of experience with data science or machine learning in a professional setting. Experience working with real-world
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for improving student success programs. REQUIRED QUALIFICATIONS: Bachelor's degree in social sciences, data/computer science, mathematics, education, economics, or a related field. At least three progressive
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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the Dean of Science Office, Department of Statistics, and the Pacific Institute for the Mathematical Sciences. This role is responsible for the planning, coordination, and execution of health and safety
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methods from both Mathematics and Physics, complemented by concepts from Theoretical Computer Science. The group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds