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Field
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challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production
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, data driven, computational and intelligent systems, all with a strong interactive component. The research of the Information Retrieval Lab Amsterdam (IRLab) focuses on information retrieval: technology
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/ Production Technology / Process Engineering / Preventive Wound Treatment / Anti-inflammatory and Antimicrobial Dressing / Burn and Surgical Wounds / Particulate Delivery Systems / Ex-vivo Models Where to apply
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will combine mathematical modelling and case-based research , while contributing to the broader goal of circular and data-driven supply chains. You will apply techniques from operations research
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Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The research
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, interdisciplinary TACIT project (Tailored AI-Driven Co-Creation for Inclusive Digital Transformation). This 5-year research position will contribute to cutting-edge work at the intersection of Human-Computer
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well organized, structured, self-driven, and enjoy interacting and collaborating with colleagues, including PhD students and postdocs. You are also expected to take part in the supervision of BSc and MSc
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, you will explore how data-driven models capturing the state-of-health and degradation can be integrated in the battery model. You will develop these machine learning-based proxies together with a