2,012 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions in Singapore
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on data collection, data cleaning, data management, and basic statistical analysis using SPSS and/or R, with opportunities to contribute to figure/table generation and external reports and publications
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sample integrity and compliance with regulatory requirements. - Assist in the development and optimization of biobanking workflows. 5. Data Management and Analysis: - Compile and organize experimental data
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the Office of Information, Knowledge and Library Services (OIKLS). It is responsible for the provision of seamless access to information resources and library services critical for the NTU community’s teaching
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data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve
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of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven workflows — from API integration to cloud architecture and data lake
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of undergraduate admissions processes, including application management, interviewing scheduling, and applicant communication. Provide information to prospective students, parents, and schools regarding admissions
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footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. We are looking for a Research Engineer to support innovative research in federated learning and computer
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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for academic and administrative functions to ensure seamless operations. Process all finance-related claims for UG and PG units, Reporting & Data Management Prepare and maintain accurate faculty records
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis