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simulation, live imaging, and genomics. The work is carried out in collaboration with our international research team (CNRS, USC). The job description may be changed during the contract period or upon contract
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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