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research from powders to pouch cells (and recycled back) and includes synthesis and pilot line scale up facilities for industrial alignment. The PhD project will focus on the development and characterization
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across diverse biological systems and tissue models. The candidate will engage in the full workflow from conceptual and development aspects to performance characterization and biological application
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. Duties of the position The technical work tasks concern: Development of AI-driven methods for smart testing and continuous assurance of autonomous maritime systems, with primary focus on autonomous
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defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben Khalifa
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groundwater fluxes through sensor development, lab and field experiments, modelling and uncertainty assessment with a focus on two case studies: a shallow unconsolidated aquifer and a fractured rock to assess
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rich contextual measures of psychosocial environments, SISU and PRISM characterize families and schools optimal for psychological development in a global crisis. Our explanatory variables of interest
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, but it relies heavily on experienced human instructors, whose availability is limited. Recent advances in artificial intelligence, especially large language models (LLMs), enable the development
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electronic complementary metal oxide semiconductor digital circuits with the help of artificial intelligence. Unleash your potential in an inspiring environment focused on research and development
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proposals. Track record of methodological innovation or development of new electrophysiological techniques. Experience mentoring trainees and managing a research team. Demonstrated expertise in physiology and
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD