Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- RIKEN
- Tohoku University
- Kyoto Institute of Technology
- Embry-Riddle Aeronautical University
- Future University Hakodate
- Japan Advanced Institute of Science and Technology
- Kyoto University
- Nagoya University
- Okayama University
- Okayama University of Science
- Rissho University
- The University of Aizu
- The University of Osaka
- Tokyo International University
- Tokyo University of Science
- University of Fukui
- 6 more »
- « less
-
Field
-
Position Description Positions Available: Several positions at the rank of Professor (Candidates are expected to teach courses in Japanese or English upon appointment and will be expected to teach
-
recognition, machine learning, and artificial intelligence. Visual understanding has made remarkable progress due to advances in deep learning technologies. Furthermore, technologies that combine videos/images
-
level: One or more courses related to the applicant’s specialized fields and Project Based Learning courses from those offered in the master's program and doctor’s program at the Graduate School
-
. AI-driven Genomic and Information Science ◦ Advance data-driven life science research that leverages AI and machine learning, underpinned by large-scale genomic and omics data as well as supercomputing
-
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
-
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
-
Courses, and Advanced Data Science Courses. Depending on the candidate’s expertise, these subjects may include Programming, Machine Learning, and Text Mining. The successful candidate will also be
-
continuous track record of producing the next generation of robotics engineers and intelligent machine systems researchers. The research areas of this course are deeply aligned with the demands of the era
-
position) - Conduct active research in the field of Human-centered AI (Human-Computer Interaction, VR/AR/XR, Learning Sciences, Affective Computing, Industrial Engineering) in close cooperation with
-
. The successful candidate will also utilize machine learning and other advanced methods to evaluate and predict the integrity of superconducting coils, with the aim of establishing operational technologies