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interviews, focus groups, and thematic analysis Lead the development, deployment, and maintenance of AI chatbots for medical education Collaborate with technical teams on chatbot design, testing, and
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: laboratory items and/or boxes. Walking, standing, sitting is required. Work Environment: Must pass employee health clearance, TB Test and required safety training. Must follow all safety precautions in
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checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon
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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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, 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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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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. In this project, we aim to prove the concept of hard/soft concrete composites. The research will include: Computational modelling and optimization of concrete architectures Experimental testing and
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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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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