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Field
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). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab , led by Prof. Gianluca Setti, and contribute to the design, development, and deployment of cutting-edge AI- and IoT-based systems
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 15 hours ago
nonstationary models and algorithms for analyzing various biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential
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Department: School of Population Health Reporting to: Prof. Breda Smyth Location: RCSI, Dublin 2 Contract/Duration: Specified purpose, up to 12 months (with option to extend to 18 months) Remuneration: Post
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postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling
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, which will be funded and mentored by Prof. Joseph Byrnes. The primary project will be an NSF-funded collaboration with Ryan Porter and Jim Gaherty at Northern Arizona University to investigate
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will focus on developing a bioinspired, AI-driven BCI system that enables intuitive and adaptive control of a wearable wrist-hand exoskeleton for stroke rehabilitation. The system will integrate
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implement novel XAI algorithms; (f) collect, process and analyse multi-modal data; (g) prepare research papers for publication; and (h) perform any other duties as assigned by the project leader
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of Basel is the home institution of the Swiss National Center of Competence in Research (NCCR) “SPIN: Spin Qubits in Silicon” supported by the Swiss National Science Foundation. The NCCR SPIN is developing
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-based prediction. This includes instrumenting a high-power APS torch with video and acoustic sensors, developing machine learning algorithms for feature extraction, and building predictive models