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, environmental and sensor data Design and validate AI-based risk and preparedness models Publish scientific articles in peer-reviewed journals and conferences Participate in international collaboration within
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is
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. The candidate will also have the opportunity to work with data gathered by optical and/or acoustic sensors. We are looking for a highly motivated person who will work independently and function well as part of a
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Fundamental knowledge and experimental background in sensors, data acquisition, and electrical actuators Good knowledge of English, both written and oral, is also required. Admission in Engineering and Science
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, CVPR, ECCV, PR, or PRL. Experience in leading and coordinating research projects. Experience in biometric data acquisition, sensor calibration, and dataset management. Expertise in deep learning, GenAI
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of the energy sector and the hydropower industry Hydrological and Hydraulic knowledge and knowledge of hydrological inflow forecasting and tools in the hydropower industry Competencies on IOT, AI, Sensor
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, sensor technology, or laboratory/field experiments. Skills in programming (e.g. Python, R) and data analysis. Ability to prepare technical reports, scientific papers, and presentations. You need to: Be
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modelling. ClampIT builds on the experience from the DynaLoad project and brings together a strong consortium covering the entire transformer value chain, including: Sensor and material suppliers: COMEM
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dynamic pressure sensors to measure the flow and flame response. In particular, the project will focus on novel methods of introducing flow perturbations, to rapidly and accurately characterise the acoustic