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11 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Design Research Field Architecture » Design Technology » Other
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attention-based transformer architectures, to assess the added value of cognitive data streams for clinical decision support Conduct systematic literature reviews across the fields of ICU decision-making
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
platform Implement and optimize system architectures, including optical setups, control systems, and measurement pipelines Characterize, benchmark, and iteratively improve system performance using advanced
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independently in 10 beetle families, with a single transition to eusociality (the ambrosia beetle, Austroplatypus incompertus). The aim of this project is to uncover the detailed regulatory architecture
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scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation models
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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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automated driving systems. Conception, design, and implementation of software architectures and prototypes in interdisciplinary projects. Development, testing, and evaluation of methods and software systems
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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with SQL and basic database concepts Desirable: Experience with LLMs, NLP, embeddings, semantic search, or generative AI Familiarity with RAG architectures, vector databases, or knowledge-enhanced AI
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tasks The scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation