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information and advice on best-practice methodologies in machine learning/deep learning. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant quantitative field (e.g. biostatistics
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to demonstrate the following: A PhD in a relevant subject area. Extensive lab experience, preferably with catalytic reaction systems. Prior experience or a demonstrable interest in working at the interface
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established scholar with a doctoral degree (or close to completion) in Statistics, Business Analytics, Econometrics, Machine Learning or a closely related field; (2) have the ability to teach any undergraduate
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practical knowledge and skills in cutting-edge information technologies. Focusing on innovation and experiential learning, we prepare students at all levels, including PhD, Master, and undergraduate
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often related to domesticated species and humans, but increasingly also on other organisms. Our focus areas include quantitative genetics, deep learning, machine learning, population genetics, integrative
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instance, Machine Learning and AI, Big Data Analytics, Statistical Modeling, Data Visualization, Data Security, Cloud Computing, Applied Data Science in Healthcare and Environment, Data Engineering
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our growing team of Associate Lecturers Online to work on our MSc Psychology, MA Education, MBA and MSc Business and MSc Computer Sciences online suites. This fully remote role offers the opportunity
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Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
developing strong networks across the University and industry. The Person The ideal candidate will hold a PhD in geochemistry and have strong geochemical analytical experience, ideally with expertise in zinc
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epigenetics, genomics, multiomics, big data and machine learning an asset. · Is willing to learn new techniques and novel analysis methods for application. · Skills in R required. · Experience