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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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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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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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23 Aug 2025 Job Information Organisation/Company Leiden University Research Field Biological sciences » Biology Biological sciences » Laboratory animal science Chemistry » Biochemistry Chemistry
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therefore have substantial therapeutic applications. Cellular metabolism is an important mechanism regulating immune function. This PhD project will use a combination of synthetic chemistry, proteomics, and
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therefore have substantial therapeutic applications. Cellular metabolism is an important mechanism regulating immune function. This PhD project will use a combination of synthetic chemistry, proteomics, and
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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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do The primary objective of this PhD project is to provide an in-depth understanding of (lethal) violence against women in the Netherlands through a comprehensive analysis of existing and newly
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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