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Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
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Organisation Job description Fully funded PhD position in Art and Architecture History at the Faculty of Arts, University of Groningen (start date: October 1, 2025) in the project “Threads of Power
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PhD position Threads of Power and Exploitation (V25.0201) « Back to the overview Job description Fully funded PhD position in Art and Architecture History at the Faculty of Arts, University
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with time-series modelling, especially deep learning architectures (e.g. RNNs, transformers) or signature methods; ● Familiarity with handling big datasets and computational tools; ● Experience working
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for tabular-native models. This can involve, for example, studying new TRL model architectures, serialization and tokenization techniques, among others. A strong interest and background in AI and/or NLP
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the molecular network to the plant-level architecture and responses. You will analyse changes relative to the Arabidopsis regulatory networks and how these may impact response to drought and heat stress. You will
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Charger). In this role, you will design scalable power converters and intelligent BMS architectures for mobile charging platforms, contributing to the prototyping and real-life testing of a modular mobile
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), and the Faculty of Science of the University of Amsterdam. About Research group The Database Architectures (DA) research group of CWI is well known as a leading data systems research group, active in
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efficiency of an algorithm that is run on an architecture/accelerator. To make testing multiple architectures easier, you will leverage our existing approach to generate code from a single source code for
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. They can be constrained by either compute power or memory bandwidth. This information can be used to calculate the theoretical maximum energy efficiency of an algorithm that is run on an architecture