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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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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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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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). 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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approaches often fail to consider lifecycle performance and the unique constraints of AM processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that
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processes. The PhD candidate will combine materials science, computational modelling to design a novel framework that identifies optimal materials and AM processes based on performance, sustainability, and
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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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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
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. The program develops scientific knowledge, models and simulation tools to support marine spatial planning in a multi-stakeholder co-creation process. You will join a team of 17 PhDs and postdocs across