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in the fields of control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine learning, and systems engineering.
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innovation in statistics, bioinformatics, health research informatics, and AI/machine learning, with a focus on applications to clinical, translational, and population health research. The successful candidate
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, machine learning, and statistical modeling on cutting-edge datasets in precision feeding, animal behavior and welfare, multi-omics and environmental impact. Join our interdisciplinary team to drive real
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Assistant Professor faculty position to begin in October 2025. We seek excellent candidates whose research interest is in Heritage Science, with needs in AI/machine learning, digital restoration of artifacts
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 36 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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prepared to teach in more than one of the following areas: auditory anatomy and physiology, clinical diagnostic audiology, pediatric audiology (auditory development, disorders, assessment, and habilitation
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of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and
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, Machine Learning Frameworks, ROS etc.) are needed and demonstrated expertise in at least one of neural networks or intelligent robotics is needed for these positions. Prior publication in a relevant AI
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for: A PhD in High Performance Computing, Machine Learning, Computer Science, Applied Mathematics, Data Science, or equivalent research, industrial or commercial experience Practical experience with