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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront of Power
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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
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Details Title Postdoctoral Fellow in Neuromotor Control School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position Description The Neuromotor
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contribute to the collaborative TQT research community. Principal Investigator: David G. Cory Project: Superconducting electronics in magnetic fields for spin control The project involves both theory and
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contribute to the collaborative TQT research community. Principal Investigator: David G. Cory Project: Methods for coherent control and validation The project involves both theory and experiment. Number
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
&PEWER_Level B_Research Fellow_CSS_2025.pdf We invite applications to join the Control, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative
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Classification: Academic Level B Salary package: $118,632 - $134,507 per annum + 17% superannuation Terms: Full time, Fixed Term (up to 12 months) We invite applications to join the Control
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controllable and transparent. This is a unique opportunity to shape the future of trustworthy AI alongside world-class researchers in Oslo, Norway. Research Focus Areas We are seeking candidates with expertise
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-qualification experience at the time of application; (b) academic background and solid knowledge of Applied Mechanics, Control Science and Engineering; (c) knowledge of control system development