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Field
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computational scientists to advance a next-generation, user-friendly, agentic AI platform for automated data analysis, interpretation, and user interactions. The appointment is expected to last two years and the
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(ORNL). As a postdoctoral fellow, you will produce publishable results at a steady pace and work at the interface of neutron imaging, computational modeling, and workflow automation. Applicants with
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Computer Science, Artificial Intelligence, Data Science, Automation, Electronic Engineering, Economics, Human Resources Management, or a related field. Experience with general methods in machine learning, such as
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, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation
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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating
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highly international research and education environment. Within DTU Electro, the Control, Robotics and Embodied AI (CREA) research group focuses on pioneering automation and robotic technologies
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. Position Function The project scope offers an opportunity to advance both applied conservation practice and fundamental ecological understanding. The incumbent will refine automated detection models
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. Position Function The project scope offers an opportunity to advance both applied conservation practice and fundamental ecological understanding. The incumbent will refine automated detection models
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components. • Experience with scientific programming or scripting languages such as Python, Fortran, C/C++, or similar, for simulation automation, data processing, or workflow integration. Desired
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extraction and analysis of sequencing-based omics data. Experience in bioreactor configuration, inline/online sensor integration, and PID-based process control; familiarity with bioreactor automation systems