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candidates seeking part-time employment. Please indicate your request in your application. Position#6: TRR404-TUD-B07 Project: B07 Reconfigurable Architecture Project Leader
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architecture. Your work tasks Join our interdisciplinary team and work with leading scientists in the fields of power electronics, control systems, power systems, communication technology, and innovation
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working across multiple fields. You will ideally have experience writing historical work or analysing art or architectural representations. Requisites 1st or a 2:1 in Architecture or adjacent
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project TARGET-AI will bring together expertise from multiple research groups to advance the state-of-the-art in combining the most advanced techniques from deep learning/AI with rigorous statistical
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms
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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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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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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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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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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 3 months ago
the International Max Planck Research School for Evolutionary PhD, a well-established program with a vibrant research community and outstanding infrastructure. Project 1 - Genetic and adaptive architecture