-
advance research in mathematics (algebra, geometry, and analysis). The successful candidate will engage in the construction and deepening of mathematical theories that are foundational to various areas
-
of the project] * Background of the recruitment and description of the project The RIKEN Center for Advanced Intelligence Project（AIP） has been launched since April 2016 with the subsidy for "Advanced Integrated
-
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
-
. Through this call, iTHEMS is seeking Research Scientists or Postdoctoral Researchers, to join AI for Science Team, who are motivated to advance foundational research in artificial intelligence (AI
-
Community Climate Model G.Experimental study of multi-nucleon forces explored through few-nucleon scattering H.Studies on hadron and nuclear systems utilizing mesons or muons. I.Beam simulation of high
-
is a great achievement of human intelligence by integrating advanced sensing, supercomputing, and information and communications technologies. Here, data assimilation plays a pivotal role. Connecting
-
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）
of the project] * Background of the recruitment and description of the project [Outline of Laboratory] The RIKEN Center for Advanced Intelligence Project (AIP) has been launched since April 2016 with the subsidy
-
of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and
-
applicants will likely work on the development and/or application of new statistical techniques in one of the following areas, depending on suitability and interest: - Improving admixture modelling across