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Mölnlycke Health Care (MHC), a world-leading producer and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological
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, sensor technologies, and data analysis for research focusing on automated health monitoring in dairy cows. About the project This postdoctoral position is part of a newly funded research project aimed
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and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and
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sensor data collected in barn environments. The research is conducted at SLU in close collaboration with European research groups within EUPHAW. The work takes place in a multidisciplinary research
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industrial robotics, industrial IoT, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department
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collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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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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, 6G communication and wireless sensor networks as well as research and education within life science, health technology, smart electronic sensors and medical systems. The Department of Electrical