Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
control using deep learning. Implement and test new algorithms in actual robot platforms. Job Requirements: PhD in Electrical and Electronic Engineering or related field. Hands on research experiences in
-
Postdoctoral Fellow – Mitochondrial Microproteins & Therapeutic Innovation Lena Ho Lab | Duke-NUS Medical School, Singapore Cardiovascular & Metabolic Disorders Programme Advance scientific frontiers in one of Asia’s leading biomedical research hubs. Duke-NUS Medical School combines the academic...
-
Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
-
have a PhD Degree in Mechanical Engineering, Automation, Control Engineering, Mechatronics, etc. Strong background in path planning and decision-making. Candidates having relevant research or working
-
Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
-
Control whose primary focus will be developing security solutions for expanding networked cyber-physical systems. This role will involve designing, analyzing, and implementing advanced control methods
-
Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
-
and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
-
Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of
-
tasks using impedance control Contribute to data analysis of force/torque and kinematic data Integrate key research findings in novel robot impedance control frameworks Publish research outcome in peer