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Vacancies PhD position on model-based wavefront shaping microscopy Key takeaways With wavefront shaping, you can focus light through non-transparent materials. Since the invention of wavefront
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Vacancies PhD position on attacks against large language models (LLMs) Key takeaways This project will investigate attacks on large language models (LLMs), a major recent development in artificial
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in motor control by computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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manufacturing economy by enabling repair and remanufacturing through advanced Additive Manufacturing (AM) technologies. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses
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will be: 1. Advanced Numerical Modelling and Simulation: You will begin by developing a numerical model to simulate the complete thermal-fluidic performance of the magnetic refrigerator. This model will
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. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses on extending product lifetimes, reducing waste, and lowering dependency on virgin raw materials by embedding AM
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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framework for hubs in regions such as Twente and Brabant. Make the hub viable through business models and value propositions: analyze how hubs can operate sustainably in practice, including governance
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public data sources such as Certificate Transparency (CT) logs, the Ph.D. candidate will design and implement techniques to flag suspicious registrations in near real-time, helping shift the response model