Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ; Xi'an Jiaotong - Liverpool University
- Westlake University
- Westlake University
- BNU-HKBU United International College
- Central China Normal University
- Chongqing University
- Fudan University
- Hebei Normal University
- Sun Yat-Sen University
- Tsinghua University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- 1 more »
- « less
-
Field
-
Job DescriptionPosition: Postdoctoral FellowTopic: Reinforcement Learning for Vortical Flow Control and Sensing. Requirements: 1) Age under 35. 2) Ph.D. degree (obtained or about to obtain) in
-
Job DescriptionPosition: Postdoctoral FellowTopic: Reinforcement Learning for Vortical Flow Control and Sensing. Requirements: 1) Age under 35. 2) Ph.D. degree (obtained or about to obtain) in
-
position in statistics, machine learning, and data science. The postdoctoral researcher will be mentored by Professor Yiyuan She and will contribute to the development of innovative statistical methods and
-
) Excellent previous research record. 3) Proven ability to learn relatively fast advanced areas of modern number theory and/or geometry. 4) Good record of delivered talks and participation in seminars and
-
. - Research Areas: Positions are focused around Deep Learning and Inverse Problem Regularization. Successful candidates will engage in diverse projects ranging from provincial to national levels, in
-
simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
-
Ion Physics Lattice Field Theory High Energy Physics / Theoretical Particle Physics lattice gauge theory Nuclear Physics / Lattice QCD (more...) Machine Learning / Machine Learning Appl Deadline
-
of expertise of an applicant are pure, applied or computational mathematics. The successful candidate will have no obligation to teach, but will be required to apply for an external funding from National Natural
-
researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
-
particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds