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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
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polymer rheology and can implement constitutive models in Matlab or Python. Laser-assisted automated fiber placement Laser-assisted fiber placement (LAFP) is an additive manufacturing technology for
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such as malicious advertising, digital skimming and stealthy online tracking. By leveraging recent advances in machine learning and browser automation, the project aims to provide tools, techniques and
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types of communication on social media and how that affects polarization. You will use an innovative multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis
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🔭 Are you passionate about astronomy and cutting-edge research? Join our dynamic team and explore the universe through multiple PhD positions now open! Work on a range of exciting research topics
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steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories, identify
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graded, student-written texts from UvA databases. Important steps constitute the development and validation of automated and potentially LLM-based scoring metrics. These metrics will then be used to inform
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on collective energy solutions involving groups of business end-users. One such solution is the energy hub, a smartly controlled, decentralized energy system established in a business park, where multiple
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models in Matlab or Python. Laser-assisted automated fiber placement Laser-assisted fiber placement (LAFP) is an additive manufacturing technology for thermoplastic composites. A laser heats both the
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steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories, identify