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directions include: Using AI to learn parameters and design circuits for quantum optimization algorithms (e.g., beyond QUBO formulations for QAOA) Developing AI-driven methods to discover quantum optimization
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without invasive surgery. Project background We develop advanced focused ultrasound technologies, adaptive closed-loop control algorithms, and ultrasound-responsive micro/nano therapeutic carriers as an
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with genetic, molecular, biochemical, and mass-spectrometric approaches, as well as translational models and patient-derived samples. The Institute for Research in Biomedicine (www.irb.usi.ch ) is a
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focus lies on nucleic-acid delivery for next-generation therapeutics. This PhD project aims to develop lipid-based nanoparticles for the controlled co-delivery of multiple genetic cargos to cancer cells