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International Research grant, "Next Generation International Research Hub for Algorithms, Combinatorial Optimization and Discrete Mathematics" with project leader Professor Ken-ichi Kawarabayashi (NII
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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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the racial justice implications of technology and algorithmic decision-making tools in the criminal legal system and other systems that govern people’s lives; challenging the forces that drive racial
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. The first workstream, AI and democracy, explores how algorithmic systems affect democratic institutions, deliberation, and participation -- probing questions of how AI concentrates or disperses political
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on the laboratory can be found here. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles
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Through education, research, and outreach, the mission of the Department of Agronomy and Plant Genetics is to discover and share knowledge and develop plant genetic materials that increase the efficiency
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the dataset, including documentation; (ii) quality control the code and analysis result; (iii) relate genetic and phenotypic measures to brain anatomy. Decision making and judgment in experimental design: The
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employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected
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/algorithmic modelling. Experience with multidisciplinary IoT systems, including low‑power sensor networks and power‑constrained device architectures. Hands‑on experience with experimental testing in
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About the role As a Research Assistant in Statistics and Genetic Epidemiology, you will play a key role in supporting a highly successful and internationally recognised research group. You will