Sort by
Refine Your Search
-
Program
-
Employer
- RIKEN
- Tohoku University
- National Institute of Information and Communications Technology
- KEK
- The University of Tokyo
- Tokyo University of Science
- Future University Hakodate
- Hokkaido University
- Japan Agency for Marine-Earth Science and Technology
- Kanazawa University
- Keio University
- Kyushu University
- National Institute for Materials Science
- National Institute for Materials Science (NIMS)
- National Institute of Advanced Industrial Science and Technology
- National Institutes of Natural Sciences, National Institute for Fusion Science
- Okinawa Institute of Science and Technology
- Okinawa Institute of Science and Technology Graduate University
- Tottori University
- Toyota Technological Institute
- University of Toyama
- 11 more »
- « less
-
Field
-
metabolism in ageing models. The use of AI and Deep Learning for data analysis and the establishment of in vitro ageing experimental systems and factor isolation using CRISPR Screening are also planned
-
fps. We are also developing three-dimensional force-mapping techniques to measure the nanomechanical properties of biomolecules at the submolecular level. Recent publications: https://researchmap.jp
-
Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01
-
University (OIST; see www.oist.jp) is an international graduate school offering a 5-year PhD program in science and technology. The university is located on 85 hectares of protected forestland overlooking
-
boosting, and related machine-learning approaches Evaluation of model generalizability using train/test splits, leave-one-cohort-out validation, and leave-one-platform-out validation Assessment of predictive
-
position is available for the research on theoretical and numerical methods related to any of the following: open quantum systems, quantum information processing and quantum machine learning, nonlinear
-
Science (Team Director; Eiryo Kawakami) (7) Medical Science Deep Learning Team, Division of Applied Mathematical Science (Team Director; Jun Seita) (8) Prediction Science Research Team, Division of Applied
-
of decarbonization processes in industry Technology development related to the carbon cycle (including carbon capture and utilization) https://www.kankyo.tohoku.ac.jp/en/faculty/skk21.html [Work content and job
-
] Number of hired:1 person(s) Starting date:2026-10-01 00:00:00 Job content supplemental explanation:[Start of employment] As early as possible from October 2026 onward. Where to apply Website https
-
diverse workforce, in order to ambitiously tackle future ICT research and development from a global perspective, and to boldly take on various challenges. https://www.nict.go.jp/en/employment