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dissection. · Experience with the characterization and phenotyping of genetically engineered or experimentally induced mouse models. · Experience with skeletal muscle phenotyping, including
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stipulated stipend guidelines for Postdoctoral Associates. Job Duties Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges. Reads and interprets patient-level data to support
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models, or adaptive learning workflows for scientific or engineering applications Strong interest in working closely with experimental researchers in a laboratory-centered environment Evidence of
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to develop, implement, and apply novel computational techniques to problems of scientific importance, in collaboration with application scientists and engineers. Topics of interest include data-driven modeling
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applications. Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine learning, depending on the specific research focus
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified
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University Tandon School of Engineering The Taylor Research Group at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work in advanced materials synthesis and electrochemical
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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National Laboratory's National Synchrotron Light Source II (NSLS-II) seeks a Postdoctoral Research Associate for AI-driven Lab Automation for Life Sciences for an on-site position in the Biological
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place in a collaborative, mission-driven research environment that values technical creativity, rigorous engineering, scientific impact, and teamwork. The group works on practical AI systems that connect