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Postdoctoral Researcher in Industrial AI Algorithm and Autonomous Decision-Making Systems Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006
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Postdoctoral Researcher in Industrial AI Algorithm and Autonomous Decision-Making Systems Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006
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transfer.- Programming and algorithm development.- Excellent communication skills and fluency in written and spoken English.- Strong motivation and commitment to work in a collaborative and
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processing, beamforming, image reconstruction, elastography, Doppler imaging, or computational imaging. Demonstrated experience in algorithm development and scientific programming, preferably in Python
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learning, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine learning, high-performance
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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 17 hours ago
background in electrochemical, thermal, or mechanical modeling of batteries. Strong coding skills for data analysis, model development, and algorithm implementation. A strong publication record in high
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research
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researchers from the Ted Rogers School of Management at TMU and the Oxford Human-Algorithm Interaction (HAI) Lab at Saïd Business School, University of Oxford. The project brings together Dr. Nancy Yang and Dr