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), providing extensive industry exposure, access to real-world operational data, and insights into large-scale O&M practices. • ETH Zürich (Switzerland), supporting academic collaboration in SHM data processing
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of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
blood-based biomarker assay. Mechanistic studies will be conducted in a neonatal large-animal model of cholestatic liver injury, where the student will participate in in vivo interventions, longitudinal
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London, Università degli Studi di Milano Bicocca and Chalmers Tekniska Högskola) together with fifteen associated partners, ranging from start-up to large biotechnology companies and renowned research
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
of statistical methods in quantification of EELS data, in particularly. Prior experience with advancing EELS measurements of captive gas (of nanoliter volumes within MEMS structures) is a big advantage, and so is
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to the development and validation of novel blood-based biomarker assay. Mechanistic studies will be conducted in a neonatal large-animal model of cholestatic liver injury, where the student will participate in in vivo
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is to develop RL methods that can search large policy spaces and support decision-makers in exploring robust strategies under deep uncertainty. Policy problems typically involve many control levers
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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population data will be considered a strong advantage. The ideal candidate is comfortable learning new analytical methods and working with large and complex datasets. Qualification requirements PhD stipends
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have an interest in quality news and AI-based chatbots. We expect: A Master’s degree in either computer engineering or computer science/data science. Experience with AI, Large Language Models, RAG, data