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advantage. Experience with programming languages (e.g. python, C++) is considered a plus. A strong team player, with well-developed communication and collaboration skills. Excellent command of written and
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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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skills in algorithmic design; Possess good communication skills and an excellent command of English. Additional Information Benefits We encourage high responsibility and independence, while collaborating
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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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team spirit. Furthermore, a strong command of (scientific) English in speech and writing is essential (EUR requirements minimum IELTS overall score of 7.0 [comparable to TOEFL PBT: 600; TOEFL CBT: 250
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softness with mechanical performance. Compliant mechanisms, particularly spatial compliant shell mechanisms, offer a promising solution. These structures can achieve large, controlled deformations while
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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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problem-solving skills. Commitment to rigorous scientific standards and accurate record keeping Time management and ability to work independently Excellent command of written and spoken English
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for advancing healthcare innovation. By enabling high-throughput synthesis, precise control over nanoparticle properties, and scalable manufacturing, automation accelerates the development of novel nanomedicines