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Experience Hands-on experience with mouse models and in vivo experiments Required License/Registration/Certification N/A Physical Requirements Check all that apply: ☒Sitting at computer work station for long
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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the Universitat Autònoma de Barcelona (UAB). Our mission is to advance frontier research with the highest international impact in the field of computer vision, while fostering the transfer of knowledge
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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, predictive modeling, machine learning, and causal inference methods. Experience with claims-based or EHR-based phenotyping, variable construction, treatment pattern analyses, healthcare utilization studies
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research, preferably with 3D modelling skills. ¿ Foundational expertise in machine learning and big data analytics Job Summary Postdoctoral Researchers support teams of KSU faculty and students
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
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the application of computer vision and remote sensing techniques to enhance data-driven decision-making, adaptability, and safety within agriculture systems. AI Knowledge for Agriculture: Build LLM and NLP tools