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) Development of workflows and methods enabling AI-powered decision assistants to support full human operators control under risk and model uncertainty, and considering human-AI co-learning.; 2) Develop
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning
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of essential components for creating a decentralized data space that allows data sharing in an interoperable way, both at the model level and at the data transfer protocol level. Empirical studies will be used
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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we will devote attention to your onboarding. If some of the work activities are new to you, we will look together at what you need, and draw up a development plan. This position is a good fit for you
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. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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Interest in experimental work, numerical modelling, and field investigation Experience with data processing and the analysis of material and structural response Experience with field implementation and on
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engineering applications, with familiarity with strength and durability tests on conventional construction materials Interest in experimental work, numerical modelling, and field investigation Experience with