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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in AI for Network Analysis (1.0 FTE, 4 years) About this position
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researchers. CML has two Departments: Industrial Ecology (CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and PhDs) are employed at CML. CML further collaborates with TU
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) Project Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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researchers. CML has two Departments: Industrial Ecology (CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and PhDs) are employed at CML. CML further collaborates with TU
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Leiden, which will maximize access to learning opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the
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opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the following criteria: BSc, including synthetic chemistry
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diverse empirical tools. Analyze rich datasets to reveal how key events influence behavioral trajectories. Maintain transparent scientific records, including developing software repositories for data
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records, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
design and synthesize a range of well-defined substrate mimics, inhibitors, and probes to target various ADP-ribosyltransferases and ADP-ribosyl hydrolases, to enable a better understanding of their