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environment. Your Responsibilities Conduct pioneering research in the design and implementation of reinforcement learning within a real-time context, specifically addressing and overcoming sample efficiency
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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particular. By implementing LLM‑driven agents that plan the analysis workflow, call established image-analysis modules and judge their own output, you will streamline image processing efforts and enable
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agofor a networked research and innovation landscape. The focus of this work is on designing semantic knowledge models for digital materials research at the intersection of materials science and knowledge
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | about 15 hours ago
(representational similarity) analyses to characterize event boundary activity and temporal pattern separation/completion Comparing findings across young adults, cognitively healthy older adults, and
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systems will be enhanced using Design of Experiment (DoE) approaches in order to efficiently explore the high-dimensional parameter space of the electrolysis processes. DoE is essential for data-efficient
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Directions AI for Scientific Computing Neural Operators and Learning-Based Surrogates LLMs and Scientific Agents Agentic AI for Engineering Design Multimodal Scientific AI Alignment and Verification
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collaboration in an ambitious, international environment. YOUR ROLE IN THE TEAM ▪ Work directly with the Principal Investigators at ETH Zurich and TUM to develop the research agenda, refine study designs, and
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semiconductor devices and circuits based on fully depleted silicon-on-insulator (FDSOI) technology for next-generation AI hardware. This position focuses on the design, fabrication, characterization, and modeling
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics