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Field
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candidate has documented experience conducting independent research in the laboratory, taking responsibility for project development within the research area, and demonstrates a strong academic track record
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have extensive experience in the functionalization of biomaterials, biocompatibility, diagnostics, additive manufacturing, organic energy storage, nanosafety and the development and characterization
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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energy community deployment. The researcher will lead activities related to time-resolved energy systems modelling, optimisation, and digital twin development for pilot sites, including scenario-based
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on modelling nucleation and evolution of damage under monotonically increasing or static loading in pressurized high-temperature water environments, with links to microstructure and manufacturing processes
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involved in strategic development and management of the clinic. Participation in the out-of-hours service is also expected. Collaboration with colleagues within your discipline and across the faculty is a
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consists of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking
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, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating
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Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and
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for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114/main?site=7