Sort by
Refine Your Search
-
, or namely, the "Science for Computing." Our goal is to be recognized as one of the global leadership research centers to advance high-end computational science in this regard. To promote science, technology
-
candidate will carry out the “Development of production technology for useful radioisotopes (RIs) using accelerators” task under the commissioned project “Development of stable and efficient production
-
the Ministry of Education, Culture, Sports, Science and Technology. AIP aims to achieve scientific breakthrough and to contribute to the welfare of society and humanity through developing innovative technologies
-
, a person who will engage in tasks such as microbial cultivation, protein purification, enzyme activity measurement (including automated system development), creation of metabolically engineered
-
simultaneous recording of brain activity from two or more individuals. The successful candidate will work on developing experimental paradigms that model real-world social interactions, with a particular focus
-
Seeking a Research Scientist or a Postdoctoral Researcher (25-1291)（Sequential Decision Making Team）
to achieve scientific breakthrough and to contribute to the welfare of society and humanity through developing innovative technologies. We also conduct research on ethical, legal and social issues caused by
-
of biomolecules, it is crucial to grasp their structural dynamics. We aim to develop methods for designing biomolecules, such as membrane proteins and peptides, with controllable conformational dynamics through a
-
breakthrough and to contribute to the welfare of society and humanity through developing innovative technologies. We also conduct research on ethical, legal and social issues caused by the spread of AI
-
development. Specifically, by developing novel methods for detecting interactions between biomolecules and understanding the mechanisms that establish immune tolerance, we seek to propose a new concept in
-
Commun, 2023) and zebrafish (bioRxiv, 2025). -We developed an unsupervised learning scheme (PredPCA) that extracts the most informative components for predicting future inputs (Nature Mach Intell, 2021