1,190 digital-image-processing-phd-scholarship Postdoctoral positions in computer-science
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digital twins for industrial chemical processes Process optimization and model-based decision support tools Development of computational tools for process monitoring and predictive analysis Candidate
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and motivated PhD student to contribute to the development of the next generation of DNA computers, capable of processing large molecular databases. The project will combine concepts from molecular
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
novel paradigm integrating Agentic AI, applied energy solvers, digital twins, and control automation to redefine scientific discovery and address key capability gaps at NETL. As a faculty research
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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: Medicine | Surgery Thoracic Post Doctoral Scholar to pursue specialized research training, education and experience under the guidance of Dr. Laura Kresty, PhD in the Department of Surgery, Comprehensive
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image datasets, including hyperspectral, multispectral, thermal, and RGB imagery. Develop field digital twins by integrating crop growth models, remote sensing data, genomic information, agronomic data
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skills are essential in order to understand and benefit from this new data intensive mining environment. Qualifications In order to be eligible for a postdoctoral scholarship you must have a PhD degree or
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: A PhD degree in chemical engineering, mechanical engineering, materials science, physics, or a related field. Demonstrated experience with molecular simulation and/or process modelling and simulation
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experimental PhDs and Canon Production Printing to enable data-driven ink optimization. Why Join? Work in the multidisciplinary Processing and Performance of Materials group Work at the forefront of sustainable