10 image-processing "Foundation for Research and Technology Hellas" Postdoctoral positions at RIKEN
-
, microbiology, imaging, measuring, basic neuroscience, etc.), Medical Science (brain medical science, immunology, oncology, genome science, etc.) and Engineering that relate to research being conducted at RIKEN
-
also lead the development of precise neutron imaging techniques at the world best precision by using particle tracking detectors. Keywords: Nuclear experiment, Hadron experiment, particle detectors
-
strong-correlation systems by means of atomic resolution electron microscopy. We use various microscopy techniques, such as electron tomography, in-situ imaging under electric bias, differential phase
-
of the project] * Background of the recruitment and description of the project [Outline of Laboratory] Our research is within the field of Computational Neuroscience. We utilize computer models to explore how
-
Engineering RIKEN ECL Research Team aims to establish novel therapeutics for hard-to-treat diseases by investigating the wealth of biological processes and modifying cells using molecular tools derived from
-
infrastructure operations, we aim to improve Internet Protocol performance, and to develop new protocols, in addition to deploying those outcomes. Potential research areas include: Computer Networks, Distributed
-
. The Laboratory is focusing three major subjects; shell evolution of very neutron-rich nuclei, the r-process path and equation-of-state in asymmetric nuclear matter. The Laboratory has initiated international
-
] low temperature physics, Quantum computer, qubit, two-dimensional electron system,helium, neon * details of the business RIKEN is Japan's largest and most comprehensive research organization for basic and applied
-
difficulties in the current computer simulations of biomolecules. Keywords: Polymer Chemistry, Molecular Dynamics, Data Science * details of the business RIKEN is Japan's largest and most comprehensive research
-
various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency