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of Faculty and Staff Appl Deadline: 2025/09/30 5:00PM (listed until 2025/09/30) Position Description: Apply Position Description - research in mathematics and mathematical sciences; - education of students
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] Subject Areas: Chemistry Life sciences Physics Computational Science Quantum Information Science (more...) Interdisciplinary Quantum Computing Appl Deadline: (posted 2025/02/14, updated 2025/02/09, listed
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of concepts from quantum information to quantum materials; algorithmic aspects of quantum computing; topological aspects of magnetism; connections between condensed matter and high-energy physics
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. OIST is a dynamic new graduate university of science and technology in Okinawa Prefecture, Japan, which offers a 5-year PhD program and brings together outstanding researchers from across the country and
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Tenure-Track Faculty Positions at the Institute of Multidisciplinary Research for Advanced Materials
appointment will be a fixed-term position for 7 years . In accordance with the IMRAM Tenure-Track Program, a comprehensive tenure review will be conducted during the fifth yearof the term. Applicants will be
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Data Science / Machine Learning Cosmology/Particle Astrophysics Nuclear Physics (more...) Electrical Engineering Appl Deadline: 2025/08/31 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until
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, written in English or Japanese) List of publications (any form, list all authors and underline the applicant's name. Place an asterisk to the corresponding author(s). If more than one first author is listed
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: Consolidate the following information (1-7) into a single PDF file (up to 10MB) and submit it to the application website: 1 Curriculum Vitae. 2 List of publications, selected talks, grants, etc. 3 Brief
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Millimetre wave Electromagnetic simulation We also welcome researchers from different fields: AI (machine learning, big data, etc) Semiconductors As a minimum requirement, you must have a PhD degree in
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Tenure-Track Assistant Professor at the Graduate School of Pharmaceutical Studies, Tohoku University
research approaches, including but not limited to those that leverage emerging technologies—such as AI-based analysis, computational science, and iPS cell-based drug discovery models—to identify novel drug