Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Institute of Science Tokyo
- Chiba University
- Osaka University
- RIKEN
- TOKYO INTERNATIONAL UNIVERSITY
- Forest Research and Management Organization
- Japan Agency for Marine-Earth Science and Technology
- Kyoto Institute of Technology
- Kyushu University
- Okinawa Institute of Science and Technology
- The Institute of Statistical Mathematics
- Tokyo University of Agriculture and Technology
- 2 more »
- « less
-
Field
-
of the recruitment and description of the project] * Background of the recruitment and description of the project (Immediately after hiring) Conduct research in nonlinear optimization under the supervision of Prof
-
intelligence, deep learning, media data processing including images and videos, etc., including their applied fields) B) Optimization and related fields (optimization algorithms, mathematical optimization
-
to the advancement and optimization of the laboratory’s research. The successful applicant will be responsible for conducting research as well as teaching and providing academic guidance
-
Emergent Constraints with data assimilation •Impact assessment of novel atmospheric observations and optimization of observation networks •Development of cloud-resolving models incorporating water isotopes
-
for reducing climate projection uncertainty using Emergent Constraints with data assimilation •Impact assessment of novel atmospheric observations and optimization of observation networks •Development of cloud
-
assimilation, utilizing numerical models and their output datasets. 2. Research and development of methodologies for optimizing the spatial deployment of observation sites and evaluating observational parameters
-
Mathematics/Optimization. Requirements: These positions are open for Assistant, Associate, or Full Professor level, depending on qualifications. The candidate must have a PhD in Computer Science/Artificial
-
singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas of interest include Potential Theory, Harmonic Analysis
-
wood decay mechanisms, in response to increasing demand for their use in timber construction and potential export. No.５）To develop effective genetic improvement methods for optimizing multiple superior
-
, computational/statistical learning theory, optimization, cryptography and security, information theory and/or nonlinear theory. Job Description: -The successful candidate is expected to conduct research and