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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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, 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
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to electron transport theory, machine learning, and molecular dynamics simulations, providing opportunities for students to acquire a broad range of skills. The close interaction with the experimental group
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intestinal duct section. To achieve this, we will address the inverse design problem using physics-informed machine learning that consists of determining the optimal structure and material distribution
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professionals at undergraduate and graduate levels, promotes lifelong learning, and enhances the well-being of individuals, children, and families residing in rural, urban, and military communities throughout
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organization-specific. This poses a critical challenge for applying machine learning: there are typically only a few examples of each specific fraud pattern to learn from. Classic machine learning methods
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School of Physical and Mathematical Sciences (SPMS) Nanyang Technological University, Singapore Assistant Professor / Associate Professor in Dynamical Systems and Mathematics of Machine Learning
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members, postdocs and PhDs working on diverse fundamental and application-oriented topics in the fields of control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine