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will develop and evaluate approaches for responsible advice-giving and information retrieval systems (e.g. retrieval-augmented generation (RAG)), for instance by using interpretability techniques
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fragments (e.g., JavaScript, Python, C#) to augment platform logic and address limitations Preferred Educational Qualifications An advanced degree from an accredited institution of higher education in a
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, and Linux/command line • Familiarity with LLM in-context learning and prompt engineering • Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented generation
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-assisted surgery. Responsibilities Maintain and augment the existing pipeline of surgical video analysis modules Develop a pipeline using Segment Anything 2 for semi-automated anatomy segmentation Aiding
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associations to augment research impact. You may be a great fit if: You are an accomplished researcher with a strong track record of achievement in eye and/or vision science, who demonstrates leadership in
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experimental psychology and cognitive science to augment human intelligence with AI. Your experience and ambitions eligible for PhD study at Aalto University (https://into.aalto.fi/display/endoctoralsci/How
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at the department. The main supervisor will be Prof. Dr. Kathy Lüdge from TU Ilmenau. Where to apply Website https://jobundkarriere.tu-ilmenau.de/jobposting/80cd5964173be4cf2a6646500503798… Requirements Research
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improvement of units and learning resources. Embedding innovative digital and learning technologies, including contemporary tools and platforms (e.g. augmented and immersive learning approaches) to enhance
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employees remain current with training and development technology, including multi-media training delivery systems, but not limited to micro videos, podcasts, augmented reality/virtual reality (ARNR). Job
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) implementation in Blender or Unity and evaluation of the case studies, v) coordination of the activities with the other project members. Where to apply Website https://www.univr.it/it/concorsi/contratti-e-assegni