Sort by
Refine Your Search
-
Employer
-
Field
-
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
-
information science) as well as applied sciences utilizing quantum computers. (6) Integration of information theory, mathematical modeling and machine learning and their application to medical science problems
-
, including phase transitions, nonlinear dynamics, morphogenesis, evolution, and chromatin physics. We tackle these questions from fresh angles, using everything from physics and machine learning to long-term
-
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
-
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
-
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
-
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
-
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
-
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
-
) 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