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Field
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human
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knowledge gaps. It is desirable that the project employ qualitative methods such as observation, interviews, and institutional ethnography in one or more child welfare offices. The project will contribute new
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communication with collaborators. Your profile The applicant must have expertise in molecular methods and be able to communicate effectively in oral and written English. The applicant is expected to have a lab
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are looking for a postdoctoral researcher in computational methods for aeroacoustics and optimisaiton related to wind turbines. The successful candidates will join the dynamic research team of Prof. Esteban
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing
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of applicable research methods and analytical procedures Knowledge of research compliance and ethics Knowledge of publishing/reporting requirements Excellent teamwork and communication skills Demonstrated
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the development of tools to improve end-user education and detection of social engineering attempts generated by AI systems, including emails, voice messages, online websites, and images, as well as methods
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approaches can be employed, including RANS simulations, hybrid RANS/LES methods, Large-Eddy Simulation (LES), and various geometric or physical simplifications. Each of these approaches has its own level of
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, brain circuit imaging and atlas mapping, and research software engineering - studying the brain circuits underlying craving, reward, and addiction. The hire will develop ML/AI methods for an integrated