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, located in Brooklyn, has the distinct history of having been known previously as Brooklyn Poly. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision and hardware
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, and PhD and master student supervision Profile PhD (or nearing completion of) Background in experimental neuroscience, computational neuroscience, and/or robotics Strong computational and analytical
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
– Intelligent Robotic Endoscopes for Improved Healthcare Services (Call HORIZON-CL4-2023-DIGITAL-EMERGING-01-01). Inria (DEFROST team) is partner No. 3 of the consortium, coordinated by the University
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assistant requires a master’s degree and the position as postdoc requires a PhD degree. In both cases an educational background within robotics, mechanical engineering, electrical engineering, computer
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research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about the School click here We
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and postgraduate levels. The school supports teaching and research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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PhD in biology, cognitive sciences, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing
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excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences