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the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres of technology, economy and our everyday life. Machines perform comparably to, or even surpass
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, teamwork, problem solving, independent judgment, organization, communication (verbal and written), time management, project management and presentation skills Proficient with computer applications and
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and student staff to support co-curricular learning and foster a vibrant residential community. This role oversees occupancy planning, housing assignments and room selection, housing policies and
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License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications
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teaching and research. The successful candidate will: Teach undergraduate courses in applied mathematics, computational mathematics, and/or data science. (e.g. applied modeling, machine learning
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic
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computer systems for word processing, spreadsheet and data management applications. Must possess working knowledge of a variety of software applications and systems, such as Microsoft Windows, Microsoft
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and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The goal of the research assistantship is to study the classical results
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and signature matching based on existing code. - Performance evaluation of the application on a Raspberry Pi (RPi). - Development of improvements to machine learning algorithms for anomaly detection and
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures