Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- RIKEN
- Japan Agency for Marine-Earth Science and Technology
- Okinawa Institute of Science and Technology
- Hokkaido University
- KEK
- Nagoya Institute of Technology
- Nagoya University
- National Institute for Materials Science
- Okinawa Institute of Science and Technology Graduate University
- Sophia University
- Tokyo City University
- 1 more »
- « less
-
Field
-
data-based methods such as modeling using neural networks and the Koopman approach and FRIT - Theoretical and experimental verification using drones and electric wheelchairs. As the experimental system
-
position) Designing a machine-learning-based bias correction method using retrospective forecasts and reanalysis data for comparative calibration. Topic 3: Development of seasonal prediction models (one–two
-
, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. We promote basic research on quantum information science and contribute
-
different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing new techniques
-
with a range 4.5M yen - 5.9M yen according to the years from PhD. Benefits 1. Relocation, housing and commuting allowances in addition to the salary. 2. Annual paid leave (10 days for the first year and
-
on high-precision methods, are encouraged to apply. Dark Photon/Axion search with Penning trap (TBA) This project uses a milli-Kelvin Penning trap to confine and cool a single electron, representing a
-
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