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), Transformers, large language models (LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models and agentic AI Developing manifold learning (e.g., tSNE and UMAP) and
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models, natural language processing, transformer-based models, retrieval-augmented generation, or LLM application programming interfaces. Proficiency in Python or comparable programming experience for
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Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Computer Engineering, Computational Science, Data Science, Management Information
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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science, biomedical engineering, applied mathematics, statistics, a quantitative biological discipline, or a related field. Demonstrated research experience in machine learning or computer vision
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 2 months ago
, and Large Language Model Integration Employer German Cancer Research Center in the Helmholtz Association (DKFZ) Location Heidelberg, Baden-Württemberg (DE) Salary Remuneration according to TV-L incl
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publishing, increasing demand for evidence-informed decision making, and rapid advances in artificial intelligence and large language models, there is a growing need to investigate questions at the
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decision-making in a safe, transparent, and clinically grounded manner. The successful candidate will work on oncology-focused multimodal reasoning models that combine language, vision, biomedical