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Opportunity You will play a key role in advancing agent-based travel demand modelling to help shape healthier, safer and more active cities. You will help build innovative modelling frameworks, analyse real
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part of the COP-PILOT project, a solution will be developed to streamline network management and orchestration tasks, incorporating LLMs as a method for implementing the intent-based management paradigm
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settings. We are seeking a dynamic and interdisciplinary scholar with expertise in science education and/or the learning sciences, and demonstrated experience with NetLogo or similar agent-based modeling
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/UKCA), and standards for medical/assistive devices. Drug delivery systems – nanoelectronics, nanoparticles, and similar for therapeutic agent release (including closed loop/triggered release
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prompt engineering, embeddings, retrieval-augmented generation (RAG), agent or tool-based workflows, or application-level architectures. Ability to work collaboratively across disciplines and communicate
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advance the development of ultrasound based diagnostics for type1 diabetes. The Benninger lab is a multidisciplinary team of scientists and engineers who broadly investigates the cellular and physiological
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decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in FMECA and equipment health management will be advantageous
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prompt engineering, embeddings, retrieval-augmented generation (RAG), agent or tool-based workflows, or application-level architectures. Ability to work collaboratively across disciplines and communicate
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and fermented fractions; (ii) development and optimization of oleogel formulations using insect-derived oils combined with suitable structuring agents and antioxidants; (iii) evaluation of the stability
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funding availability. What are the provisions? You will receive a stipend to be determined by MRICD. Stipends are typically based on a participant’s academic standing, discipline, experience, and research