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and solve them with various engineering approaches.Our laboratory aims to design faster and more scalable quantum computers by exploring their systems and software, as modern computer engineering
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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms
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mathematical information science approaches, such as scientific machine learning. Potential research topics include, but are not limited to: (1) Bayesian estimation of 3D velocity structure models using ocean
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position) Designing a machine-learning-based bias correction method using retrospective forecasts and reanalysis data for comparative calibration. Topic 3: Development of seasonal prediction models (one–two
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of parameters in large-scale models of systems biology; optimal control of reactive oxygen species in quantum biology. Working Location: 1919-1 Tancha, Onna-son, Okinawa, Japan 904-0495 Responsibilities: 1
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4 Sep 2025 Job Information Organisation/Company RIKEN Department Administrative Support Office Research Field Chemistry Neurosciences Anthropology Medical sciences Ethics in health sciences
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; identification of novel phases of matter through machine learning; and the development of new algorithms for the simulation of quantum matter. Applications from strong candidates with complementary interests
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the activities of the Representation Theory and Algebraic Combinatorics Unit. Qualifications: (Required) 1. PhD in Mathematics. 2. Speaking/Listening Proficiency in English. Report to: Dr Liron Speyer
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(Required) PhD in Information Theory, Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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modelling across different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing