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by Associate Prof. Pedro P. Vergara. You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will
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. Your work bridges circuit design, electromagnetic modeling, quasi-optical system analysis and hands-on validation. A key part of your role is the realization of experimental demonstrations. You will
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simulations and translating these designs into manufacturable layouts. Your work bridges circuit design, electromagnetic modeling, quasi-optical system analysis and hands-on validation. A key part of your role
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, providing a chance to test your models in real-world scenarios. You will also have the chance to closely collaborate with a SmartEM PhD candidate.
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research on topics including, but not limited to: Continual learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models
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develop a robust mathematical approach to study the metastable behaviour of these models. Metastability is a universal phenomenon, where a system spends a long time in a state of "pseudo equilibrium" until
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. You will develop numerical models for nanoscale heat dissipation to interpret the experimental data. The project will be supervised by Prof. Zijlstra (Molecular Plasmonics group) and co-supervised by
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learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models (LLMs). Developing methods to improve the safety and robustness
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by a future where generative AI models fully comply with the specifications and the
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on the context. To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception. This is a full