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University of Northern British Columbia | Prince George North, British Columbia | Canada | about 20 hours ago
interests in either partial differential equations (PDE) or number theory. Both positions are two-year positions, with renewal for the second year subject to satisfactory performance. For information
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. Chem. Chem. Phys. 26, pp. 27567 – 27582 (2024). This is a 12-month position expected to start around 08/15/2025. Duties and Responsibilities Carry out research in theory development, the improvement
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optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
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agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an
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quantification, explainability, and decision-making under uncertainty. We aim to push the boundaries of theory and practice in these areas, developing principled methods that address fundamental and applied
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submission) in Philosophy, Applied Philosophy, Political Philosophy, Ethics, Bioethics, Feminist Theory, Law or a relevant discipline. Prior research experience e.g., as a research assistant or associate
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waves, Particle physics (theoretical and experimental) Physics / Astroparticle Physics, Astrophysics (astro-ph), Astrophysics Theory, Cosmology, Dark Matter, Elementary Particle Physics, Element Nuclear
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-qualification experience at the time of application; (b) academic background and solid knowledge of Applied Mechanics, Control Science and Engineering; (c) knowledge of control system development
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, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory
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Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies