436 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Singapore
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engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and
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Computer Science, Artificial Intelligence, Data Science, Automation, Electronic Engineering, Economics, Human Resources Management, or a related field. Experience with general methods in machine learning, such as
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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. • The ability to work independently and collaboratively within a multidisciplinary team. • Strong writing, critical thinking, communication, and presentation skills. • Experience in Machine Learning is a
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on the laboratory can be found here. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles
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, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive salary will be paid on a monthly basis, benchmarked
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peer-reviewed journals and/or top-tier conferences. Knowledge & Skills: Strong foundation in machine learning, deep learning, and algorithm development. Proficiency in scientific programming (e.g
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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in
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characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning