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Field
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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relevant field (e.g., electrical engineering or neuroscience). Additional Qualifications Experience: Proven track record of research excellence, as demonstrated by publications in top peer-reviewed journals
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Development Fund (ERDF) via the COMPETE2030 - PITD (Innovation and Digital Transition Programme), under the following conditions: Scientific Area: Chemical and Biological Engineering, Biotechnology
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. robotics, computer science, electrical/electronic engineering, etc. • Extensive experience in robotic motion planning and control, especially in obstacle avoidance and contact-aware task execution with
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Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators. Under this job title, you will develop a CFD modelling platform to evaluate
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Holder) in its current wording given by Decree-Law No. 65/2024 of 01 October and Regulation of Fellowships and Research of the Foundation for Science and Technology in force (Reg. No. 950/2019 of 16
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. Qualifications Required Education and Qualifications: Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science/Engineering, or a closely related field by the start date
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Number: 6480973 Postdoctoral Research Fellow About the Opportunity Job Summary The department of Electrical and Computer Engineering and Institute for the Wireless Internet of Things (WIoT) is seeking a
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– Computer Science and Engineering Research Centre, Faculdade de Ciências da Universidade de Lisboa, under the scientific supervision of Professor Márcia Barros. Fellowship duration: This position is initially opened
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering