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Field
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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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, digital currencies, fraud detection with data science and machine learning, create prediction models using structured and unstructured data, and apply the techniques to solve the real-world problems in
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fellow. Highly motivated individuals with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing
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degree) in human-computer interaction, industrial design, computer science or similar with a genuine interest in pursuing a PhD. A team player able to work in a dynamic, interdisciplinary environment
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. The successful candidate is required to: - Contribute to programming, modelling, and human robot interaction - Contribute to computer vision and machine learning algorithms. - Contribute to the implementation
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strategy and machine learning plays a pivotal role in intrusion detection by learning from past and simulated attacks. Duties The objective of the position is to explore and provide privacy-preserving and
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findings in a form of reports/papers and present in international peer-reviewed conferences and journals. To be involved in the mentoring of FYP/Master/PhD student projects. Job Requirements: Possess a good
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scattering and runs a specialized subgroup on machine learning (artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options
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Institutes of Health. The focus is on using concepts and techniques from statistical learning techniques, signal processing, machine learning, information theory and nonlinear dynamics. Villanova is a Catholic