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Institute of Chemistry are looking for a PhD candidate to pursue research on the development of host-directed therapeutics for mycobacterial infections. Mycobacterial infections are among the top 10 cause
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and limitations. The field of interpretable machine learning aims to fill this gap by developing
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
the nanomedicines with high specificity to the desired target site in the body. In this PhD project, the candidate will experimentally study how to achieve high specificity by developing a quantitative understanding