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University (OIST; see www.oist.jp) is an international graduate school offering a 5-year PhD program in science and technology. The university is located on 85 hectares of protected forestland overlooking
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these fields. The accelerator group pursues various upgrade programs of the next-generation heavy-ion accelerator facility, RI-Beam Factory (RIBF), to improve the accelerator performance and operation efficiency
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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appropriate. Qualifications (Required) PhD in mathematics, physics, or a closely related field by the start date. (Preferred) Demonstrated research expertise in one or more of the following areas: algebraic
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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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microscopy, enabling investigation of quantum-state formation and energy-conversion processes at molecular and nanoscale interfaces. The job description may be changed during the contract period or upon
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the implementation of CCUS through process optimization, the development of LCA/TEA assessment tools, and technology deployment scenarios. https://unit.aist.go.jp/ccus/groups/cart.html * details of the business
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National Institutes of Natural Sciences, National Institute for Fusion Science | Japan | 2 months ago
' Holiday Additional comments (1) The information regarding the job offering may also be found on the NIFS website (2) NIFS respects the basic law for a gender-equal society in the selection process. The
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random access memories. This project aims to develop models of the magnetisation switching process that can explain experimental results provided by collaborators. As such the position will involve
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) Submitted documents will be managed safely according to strict rules. Personal information received during the recruiting process will be used only for recruitment screening and appointment procedures and not