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) project entitled “Data-driven methods for reaction pathway exploration in multi-component non-equilibrium systems.” This project aims to understand and predict reaction pathway selection and functional
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-edge AI methods for survey astronomy. The successful candidate will collaborate closely with Profs. Vinicius Mikuni, Hironao Miyatake, and other members of KMI, to develop data science techniques
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materials for quantum sensing applications, such as NV centers formed within diamonds. Specifically, spin characterization of color centers by electron spin resonance method, crystal processing to control
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Electromagnetic simulation We also welcome the researcher from different fields: AI (machine learning, big database, etc) Semiconductors As a minimum requirement, you must have a PhD degree in Electrical and
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TIGR-Tas using molecular biology, and biochemical methods. The candidate is also expected to engineer the systems as molecular tools for therapeutic applications. In particular, the candidate is expected
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. Assist tutoring and mentoring students. Qualifications: (Required) 1. PhD in Mathematics with research interests in Analysis in Metric Spaces 2. Speaking/Listening Proficiency in English. Report to: Dr
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expected to develop cutting-edge methods for 3 Tesla and 7 Tesla MRI. The job description may be changed during the contract period or upon contract renewal to the extent described above. * Assigned
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(4) The need for business (5) Situation of budget. Expected salary: About 450,000 JPY per month. Salary and various allowances are determined according to the KEK rules. Method of Selection: After
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initiatives, and by engaging in community or outreach activities when appropriate. [Qualifications] (Required) PhD in mathematics, physics, or a closely related field by the start date. (Preferred) Demonstrated
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. Qualifications: (Required) PhD in Mathematics. Report to: Professor Ugur G. Abdulla/Analysis & PDE Unit Starting Date: August, 2026 (or onward) Term & Working hours: Full-time, contract will be renewed on a yearly