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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and
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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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entrepreneurship education and research. SKJCE conducts research in areas such as entrepreneurial learning and education, academic entrepreneurship, entrepreneurial finance, social entrepreneurship, and immigrant
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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, or experimental testing of plasma devices within vacuum chambers, and a demonstrated aptitude for learning new fields of research. The person should have a PhD, or equivalent qualifications and experience, in
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, preference will be given to those with strong Python/programming and research skills, and experience in graphs/ontologies, machine learning, optimisation/control, time-series forecasting, BMS/HVAC, PV or ESS
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 hours ago
to the agency as part of NDA/BLA submissions. You will have access to unique research and training opportunities, ability to interact with top regulatory scientists and use state-of-the-art techniques. Learning
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mentorship. Develop, implement, train, and validate machine learning and deep learning models for AI-driven prediction of cell physiology, metabolism, and functional behavior, with input from the research team
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emerging technologies, transportation data, policy, research and all modes of transportation across the Department. As a Fellow, you will learn to facilitate the transformation of our transportation system