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language model (LLM)-based genome design tools with bioprocess engineering to create next-generation therapeutic conjugative plasmids. These engineered plasmids will be optimised for industrial-scale
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Supervisors: Dr. Maximilian Besenhard Dr. Maryam Parhizkar Abstract: Antimicrobial peptides (AMPs) are natural molecules produced by the immune system and represent one of the most promising avenues
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. Atomistic Simulation of electronically excited processes in molecules and materials is essential for our understanding of the working principles of emerging energy conversion technologies, e.g. solar cells
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cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication
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platforms, and regulatory guidance Evaluate long-term performance and potential for clinical translation Impact and Outlook: This project addresses a critical unmet need in orthopaedic surgery by developing
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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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Microfluidics and lateral flow assay engineering Translational diagnostics and AMR-focused assay development Digital image analysis and Python-based data processing The project includes opportunities