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, synthetic chemists team up with immunologists from the Leiden University Medical Centre and computational scientists from the TU Delft to develop the next generation of synthetic CAAR cell therapy for serious
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faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top
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limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data
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faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand
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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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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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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
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of 16 academic & industrial partners will train 14 PhD fellows (3 of which are to be hired through this call). What GenAIDE offers you: A structured, four-year PhD training programme that mixes
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is to deliver 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
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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