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Field
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for extracting physiological biomarkers from ECG, PPG, and related sensor data Machine learning and AI for predictive modelling and risk stratification Computational physiology modelling to personalise and
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within a Research Infrastructure? No Offer Description We are looking for a highly motivated and ambitious PhD candidate with experience in either biomedical engineering, machine learning, polymer
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 6 hours ago
innovations, OCTO Technology and the PIMM laboratory at ENSAM are jointly sponsoring this PhD thesis. The research will focus on the application of Physics-Informed Machine Learning (PIML) and Physics-Informed
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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Experience in electroencephalogram and electrospinogram, other biosignals Experience in biosignal processing Experience in nerve stimulation Knowlege in machine learning Very good written and spoken English
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supervised by experts in combinatorial optimization, machine learning and fairness-awareness in algorithmic decision support, and the Eurotransplant headquarters in Leiden, where access to the domain expertise
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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social marketing within technology and innovation-intensive activities to automation and optimization, to machine design, production and production systems. The Division of Industrial Engineering and
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identification and machine learning. The key challenge is striking a balance between, on the one hand, modelling the physical, dynamic and nonlinear behavior of the components with sufficient physical accuracy
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both