Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
simulation, actuators/electronics/sensors technology, control, machine learning/programming, and related fields to drive cutting-edge mechanical and mechatronics design innovation, taking a hands-on approach
-
backgrounds with strong research potential and a commitment to teaching. Preference will be given to candidates in the following areas: 1.Pure and Applied Mathematics 2.Machine Learning, and Artificial
-
an attractive salary between 400,000-500000 RMB/year (~58,000 - 70,000 USD). The project focuses on analyzing machine learning techniques using random matrix tools, with an emphasis on Empirical Risk Minimization
-
salary between 400,000-500000 RMB/year (~58,000 - 70,000 USD). The project focuses on analyzing machine learning techniques using random matrix tools, with an emphasis on Empirical Risk Minimization (ERM
-
processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
-
, quantitative finance, risk quantification, financial risk management, machine learning/AI in finance or similar areas depending on the evolving needs of the department. The successful candidates are also
-
Xi’an Jiaotong University, the continued development of the four new Academies, and the exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching
-
Xi’an Jiaotong University, the continued development of the four new Academies, and exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching
-
Peking University, Center for Machine Learning Research (CMLR) Position ID: 2952 -FACULTY [#24742] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Beijing, Beijing
-
, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and