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of physics- informed machine learning and deep learning, with applications to inverse problems in scientific imaging and the modeling of complex physical systems. The overall goal is to integrate the knowledge
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. Interdisciplinary research is actively promoted by the Faculty of Science, fostered under the University-wide six Interdisciplinary Labs (https://interdisciplinary-research.hkbu.edu.hk/), and supported by state
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the mission of the University through evidence of a clear understanding and commitment to teach through the integration of Christian faith and learning. Teaching Responsibilities The successful candidate will
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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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to provide faculty and students with technical support within academic applications. Some of these platforms include learning management systems, audio-video platforms, content management systems, the campus
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Demonstrated knowledge and understanding of current learning theories and effective learning strategies. Excellent oral and written communication skills, thorough computer literacy, ability to balance priorities
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the lifecycle of industrial systems. As machine learning sees broader adoption, companies are increasingly required to ensure the safety of machine-learning-enabled systems. The reliance on training data and the
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support the research enterprise in computational biology, biophysics and machine learning activities. The research associate will work with Dr. Morcos to tackle computational problems in the area of
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About Farmingdale State College: Farmingdale State College is a recognized leader in applied learning. With over 10,000 students, FSC is the State University of New York's largest college
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fluorescence microscopy (SMLM, SIM), integrating physical-mathematical models, machine learning, and compressed sensing for accurate and efficient reconstructions. Applicants must submit a project implementing