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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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of naturalistic behavior. The successful candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on naturalistic behavior
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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-area ElectroAnalytical, under a work contract for a non-fixed term, aiming at the development of electroanalytical sensors for the early detection of E. amylovora in fruit trees. 2. Applicable
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the research center Sensible Things that Communicate (www.miun.se/stc ) and deals with sensor-based systems and services for use within the Internet of Things and artificial intelligence. Job description We
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. You should be experienced in studying biodiversity, ideally with experience in lone working and the deployment of environmental sensors in a field setting. While you will work in collaboration with
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to sectors such as Geographic Information Systems (GIS), mobility management, the Internet of Things (IoT), and industrial sensorization. Tasks will include: Definition of reusable models and components
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sensors, instruments, and data analytics for such applications. The position responsibilities also include giving periodic progress reports via slide decks and written documents, working as part of a multi
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maintain robust hardware–software interfaces for sensors, actuators, and communication systems. You will contribute to system validation, simulation, benchmarking, and performance analysis in clinically
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printing processes. In parallel, they will fabricate sensors for humidity detection and visible light response using flexography and screen printing techniques, ensuring their proper characterization