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the unique capabilities of SIX beamline. * Contribute to development and testing of the experimental setup that enables device functionalities during RIXS experiments through the application of perturbations
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or academic laboratory. You will work towards an impactful methodology publication and will construct rheodialysis devices to be shared with Netzsch’s customer base for further testing. Due to the short-term
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and virology, this project seeks to understand the nature, scale and impact of these shifts. The research may thus involve questions that examine different parts of the scientific method and process
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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tools currently available. The candidate will be responsible for conducting and analysing combustion tests using metal particles in order to identify and characterise the combustion products
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, and asset management. The successful candidate will contribute to the development of next-generation digital infrastructure frameworks that combine experimental testing, structural health monitoring
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must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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and techniques to synthesize these new materials. The candidate needs to be familiar with electrochemical testing and evaluating these materials. Position Requirements Recent or soon-to-be-completed PhD
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) under realistic conditions and establish and validate specific adsorption methods. You will perform electrochemical tests using common techniques (e.g., cyclic voltammetry, impedance spectroscopy, and