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of technology. As AI continues to evolve, so will the strong demand for artificial intelligence professionals in the public and private sectors, including opportunities in digital healthcare, smart manufacturing
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will perform functions in one of the Work Packages (WP) in which IPS is participating: WP1 – Open Data Collaboration Platform and/or; WP2 – AI Powered Applications and/or; WP3 – Smart Gates and Smart
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/or; WP3 – Smart Gates and Smart Terminals and/or; WP5 – Smart Logistics Assessment and ranking criteria:Curriculum and Motivational Letter Assessment (CV+ML) – (scale of 0-15 values) Academic training
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of Smart Green Mobility Products and Systems (Application e n.º C646908627-00000069) under the terms of Notice no. 02/C05-i01/2022, supported by the PRR - Recovery and Resilience Plan and the European
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of Smart Green Mobility Products and Systems (Application n.º C646908627-00000069) under the terms of Notice no. 02/C05-i01/2022, supported by the PRR - Recovery and Resilience Plan and the European
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degree course, in Computer Science, in the frame of the R&D project Vine & Wine PT, BI/UTAD/18/2025, funded by the Vine & Wine Portugal - Driving Sustainable Growth Through Smart Innovation project
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production of Australian designed and manufactured hardware controllers. This research aims to help bridge the gap between research and market and bring affordable and reliable Smart Wheelchairs to people who
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available in the further tabs (e.g. “Application requirements”). Programme Description Research work (Master's theses, doctoral theses, Postdocs) in the field of natural sciences is eligible for funding
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. Management and Engineering in Production Systems, M. Sc. Robotic Systems Engineering, M. Sc. Smart Production Engineering, M. Sc. Textile Engineering, M. Sc. Resilient Civil Engineering, M. Sc. Battery Systems
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Mechanical Engineering, M. Sc. Management and Engineering in Computer Aided Mechanical Engineering, M. Sc. Management and Engineering in Production Systems, M. Sc. Robotic Systems Engineering, M. Sc. Smart