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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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interaction, safe exploration, long-term monitoring). You will be responsible for developing new techniques for single- or multi-agent decision-making under uncertainty in the context of autonomous systems
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. The application areas include smart energy systems, mechatronic systems, robotic systems, as well as, multi-agent autonomous systems. For more information about the DTPA group please use the following link: http
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. The application areas include smart energy systems, mechatronic systems, robotic systems, as well as, multi-agent autonomous systems. For more information about the DTPA group please use the following link: http
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and non-invasive neurostimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in
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Application deadline: 12 June 2025 Apply now Empowering rural areas is crucial to achieve climate neutrality by 2050. Rural areas are home for one-third of the European Union (EU) population, representing 83
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher education. Its educational system is based on the highest standards of teaching and
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at better understanding of ligand binding in solution and molten salts chemistry. Computational methods will primarily involve density functional theory calculations for molecular and periodic systems
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states. You will also work within a multidisciplinary multi-institutional team involving specialists in theory, nonlinear electronic spectroscopy, organic synthesis, and materials characterization. Major
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bioelectronics to assess EVs from macrophages. In recent years macrophage-derived EVs have emerged to be potential therapeutic targets and promising agents for treatment of inflammatory diseases, and our goal is