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developing a collection of spatially distributed models for these objectives within an encoder-decoder framework to reduce the dimensionality, enabling the use of multi-objective optimisation to generate a
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harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as
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detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research
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with renewable energy generation, the utilization of EVs as distributed energy storage through Vehicle-to-Everything (V2X) technologies, and coordinated control mechanisms—such as aggregators—to mitigate
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teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be
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Experienced researcher position. Part-time 40 hours/month distributed unequally, gross hourly salary of 240 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer Trust in Online
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Experienced researcher position. Part-time 80 hours/month distributed unequally, gross hourly salary of 240 lei, fixed period until June 30, 2026. The project is entitled “A Study of Consumer Trust in Online
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self-similar stochastic processes, the so-called Hermite processes. Self-similar processes are stochastic processes that are invariant in distribution under a suitable time scaling. The purpose is to