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systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias
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are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The Research Assistant in Scientific Computing will work at the AI+Science Lab led by Prof. Anima Anandkumar
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100%, Zurich, fixed-term The Ethics, Technology and Society research group in the department of Humanities, Social and Political Sciences (D-GESS), led by Prof. Dr. Margarita Boenig-Liptsin , is
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. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. The main supervisor will be Assoc. Prof. Francesco Da Ros, DTU
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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learning tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development
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algorithmic innovation and robot deployment, leading experimental design, system integration, and evaluation on real robotic platforms. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic
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artificial intelligence and robotics. The successful applicant will contribute to cutting-edge research and development in Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
funding program starting January 1, 2026. The workplace and employment will be at the Center for Media, Communication and Information Research (ZeMKI) in the research lab "Media & Education" led by Prof. Dr