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materials, self-healing technologies, or sensor-integrated cementitious systems is a strong plus. Strong laboratory skills, data analysis capabilities, and a collaborative mindset. Preferred Skills
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include, but are not limited to: Responsibilities Design, build, and integrate robotic and automated systems, including end-effectors, manipulators, and sensor-actuator networks. Lead mechanical, electrical
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Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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related fields Expert knowledge of building air-conditioning and mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Avignon, Provence Alpes Cote d Azur | France | about 12 hours ago
your work in the Plants and Horticultural Crop Systems (PSH) unit. Within this unit, you will controbute the Methods, Concepts, and Assessment of Multi-performance Horticultural Systems (MESH) axis. You
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embedded in Work Package 2of the ENDOTRAIN network that will explore the use of nanotechnology-enhanced electrochemical sensors for highly sensitive, selective and reversible biomarker sensing. Specifically
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Supervisor: Tenured Associate Professor Serkan Turkmen, Estonian Maritime Academy: Estonian Maritime Academy: Green Maritime Technology Research Group Proposed Thesis: Towards net zero in Maritime Industry
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networks, Internet of Things sensors, and analytics platforms that gather data from those infrastructures, as well as telecommunications networks. To fully support the operation of cities, telecommunications
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for robotics, electrical and digital control systems, sensors and sensor networks within the Advanced Manufacturing specialisation through the UTAS Virtual Learning Environment (VLE) Foster student success and