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focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings and establish tighter, more
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on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings and establish tighter, more intuitive links
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Shape Optimisation This project focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings
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, to enable the rapid translation of this research. The candidate will work as part of an interdisciplinary team embedded within the Institutes of Chemistry and Biology at Leiden, which will maximize access
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, such as macrophages and organoids, to enable the rapid translation of this research. The candidate will work as part of an interdisciplinary team embedded within the Institutes of Chemistry and Biology at
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, to enable the rapid translation of this research. The candidate will work as part of an interdisciplinary team embedded within the Institutes of Chemistry and Biology at Leiden, which will maximize access
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particular in deep learning, LLM, digital hardware design, embedded systems, audio processing; Proficiency in deep learning frameworks (e.g. PyTorch) and programming skills (SystemVerilog, Verilog, Python, C
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, transcriptomics, and proteomics and work on advanced biological systems for modelling infection including macrophages, organoids, zebrafish, primary and clinical samples. Embedding within the Institutes of Biology
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are embedded in the Graduate School of Governance and Global Affairs. Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness
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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