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.) for integrating real-time feedback systems (e.g. haptics, sensors, etc.); (b) familiarity with embedded systems and communication protocols (e.g. CAN, I2C, SPI, etc.) in automotive or HCI applications; and (c
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, applicants should have: (a) experience in HCI, Psychology, UX Design and MCU programming (e.g. Arduino, STM32, ESP32, etc.) for integrating real-time feedback systems (e.g. haptics, sensors, etc.); (b
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. haptics, sensors, etc.); (b) familiarity with embedded systems and communication protocols (e.g. CAN, I2C, SPI, etc.) in automotive or HCI applications; and (c) experience with sensor fusion
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Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms; implementing and testing ROS nodes
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, and sensor data processing algorithms; implementing and testing ROS nodes, embedded controllers, and closed-loop control routines on prototype hardware; preparing technical reports, delivering
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using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions; (b) use AI algorithms to detect
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secure, regulatory-compliant development platforms capable of ingesting, curating and continuously learning from multi-center hepatocellular carcinoma datasets; (c) create innovative algorithms/systems
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months] Duties The appointees will assist the project leader in the research project – “Multi-sensor-based smart sorting (MSS) system for solid waste recycling and sustainable development”. Qualifications
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences