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industry, the vast majority of ideas will fail. So, since inception, we’ve focused on continuous enhancement of our automated research platform and cutting-edge technology, allowing us to fail faster than
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analytics in a variety of biotechnological applications to faciliate real-time monitoring for in-depth biological understanding and subsequent automated process control. The Ottens lab works on implementation
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intuitive links between search parameters and the resulting geometry or performance outcomes. The result will be an LLM-driven framework giving designers clearer cause-effect control over generative shape
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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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assays and RNA sequencing in iNeurons. Using advanced techniques such as automated live-cell imaging, electrophysiology and biomarker analyses, effective AONs will be selected. Ultimately, the goal is to
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control over generative shape optimisation. 2 – Explainable AI with LLMs for Transparent Decision-Making in Design Engineering This project combines classic XAI methods with LLM capabilities to generate
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the world, delivering competitive and successful high-quality research. The institute employs 500 people of which 275 are PhD’s or PostDocs. With its unique NanoLab facilities the institute holds 1250 m2
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(students, 4-5 PhDs, postdocs, PI) and external collaborators (e.g. University of Amsterdam, the UN, and Amsterdam UMC). Assist in relevant teaching activities at universities, such as thesis supervision and
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other researchers in the TRL Lab (students, 4-5 PhDs, postdocs, PI) and external collaborators (e.g. University of Amsterdam, the UN, and Amsterdam UMC). Assist in relevant teaching activities
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lithium-ion battery (BLIB) with fast charge/discharge (1 min) and high energy density. Working with three PhD candidates and one postdoc, you will help synthesise a conductive anode within a bicontinuous