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or no supervisory responsibilities Other duties as assigned Unit URL https://www.uidaho.edu/agricultural-life-sciences/academics/animal-veterinary-food-sciences Position Qualifications Required Experience Following
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interest in optical spectroscopic sensors to support industrial research and innovation projects in agrifood applications. Photonics technologies, particularly optical spectroscopic sensors, enable non
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 25 days ago
work plan will focus on R&D of energy harvesting systems that exploit different energy sources from the human body to supply cardiac electronic devices or sensors for enabling the Internet of Medical
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(www.femto-st.fr ). This team involves members of the OHMS (https://teams.femto-st.fr//equipe-ohms/ ) [Time-Frequency Department] and MOSAIC groups (https://teams.femto-st.fr/MOSAIC/en ) [Micro-Nano Sciences
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sensor and display devices is required. Professional knowledge of National Fire Protection Association standards, other related codes and standards, and have the ability to effectively interpret codes
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sensor systems for monitoring is also planned. The work plan therefore includes: 1) Development of the innovative LSF profile and numerical simulation for parameterisation of the solution; 2) Development
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38339 Job Number SE156824 Position Information Department or Unit Name Fowler School
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, the research group is seeking a new colleague to support the design of an enhanced framework that integrates high-level task sequencing with low-level sensor-fusion control to facilitate in-process adaptation
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–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML
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–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics Predictive maintenance, sensor systems, multimodal monitoring AI/ML