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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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hardware development using sensors and microcontroller systems is an advantage. Strong scientific skills and experience in real life experiments, as well as effective communication skills, written and orally
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Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
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desirable. Experience in electronic hardware development using sensors and microcontroller systems is an advantage. Strong scientific skills and experience in real life experiments, as well as effective
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://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments/ent/aass/ ) and Örebro University’s AI
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability
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production, recycling and value chain optimisation. The research focuses on applied AI in areas such as sensor data analysis, time series modelling, automation and decision support, with strong links
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems