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on persona-based social simulations for aiding policy design. Position Overview This research project will focus on building and evaluating novel LLM-based systems for performing computational social
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focus on the design, formulation and evaluation of stimuli-responsive nanoparticles to enhance RNA delivery and endosomal escape. Key Responsibilities: The Senior RF shall perform experiments himself
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-density operation and evaluation of process and techno-economic feasibility where relevant. Analyze data independently, maintain clear research records, prepare manuscripts, patents, reports and
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for one year and may be extended, subjected to performance and availability of research funding. Key Responsibilities: Develop state-of-the-art and innovative models and algorithms to improve port and
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splits. • Develop an CNFET module for complementary operation, and fabricate CNFET integrated circuits in collaboration with the circuit design team. • Publish in leading venues
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, Biomedical Engineering or Other STEM/medical/engineering disciplines. Be under 35 years of age, in excellent physical and mental health, with outstanding academic performance. Possess strong research
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sensing technology. You will refine and optimise a bespoke characterisation system, fabricate optical fibre sensors and evaluate their performance. You will also apply digital signal processing techniques
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from many sources. Develop approaches to model the performance of the aforementioned event-triggered systems, and to use these models to optimise SONNETS architectures. Collaborate with artificial
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. Utilize Finite Element Method (FEM) software (e.g., COMSOL) to perform thermal analysis, modeling heat distribution and dissipation in high-power operational conditions. Define theoretical performance
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researchers exploring ways to improve the manufacturability of these materials and better understand their performance as high-temperature structural materials in oxidizing environments. You will participate in