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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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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 22 hours ago
investigate dynamic interactions between ecosystems and society at and across multiple spatial scales as well as options for responsible stewardship. Our research is highly interdisciplinary across the natural
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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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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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—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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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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findings at meetings and/ or conferences. Lead the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on knowledge of principles
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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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/accelerator. To make testing multiple architectures easier, you will leverage our existing approach to generate code from a single source code for multiple architectures and accelerators, called SaC. You will
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-edge flexibility while incentivizing grid-edge device owners for the power system value of their flexibility and data. These methods will be supported by a novel computing architecture addressing domain