1,340 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" uni jobs in Singapore
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closely with all stakeholders to achieve programme admission goals, fostering a collaborative approach to success. Verify and analyse applicant information for accuracy, relevance, and completeness
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SCIS Full-Time Faculty, Associate Professor on Tenure Track - (26000015) Description Tenure Track faculty position in Computer Science The School of Computing and Information Systems (SCIS
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at scale. The group comprises four teams: Infrastructure Operations (InfraOps), Data Operations (DataOps), Machine Learning Operations (MLOps), and Experiences (EX). As a Platforms Engineer, MLOps in
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Responsibilities: Design and implement experimental studies on solid waste treatment processes, including rigorous data analysis and comprehensive technical evaluation. Integrate experimental findings with
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. Ensure employee claims submissions are accurate and in compliance with group policies and standards. Prepare and maintain regular and ad hoc requests of management reports/data by staff. Provide payroll
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holders — who can demonstrate the following skills: End-to-End Project Delivery: Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis
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processes for postgraduate students: a) Verify and analyse applicant information for accuracy, relevance, and completeness to ensure informed decision-making. b) Database management–maintain data
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Description To augment OAR’s Data & Systems (D&S) team and take on the management of the Alumni CRM (Blackbaud CRM) and Event System (Gevme) allowing existing D&S staff to undertake the migration of the Alumni
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holders — who can demonstrate the following skills: End-to-End Project Delivery: Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis
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of implementation and data integrity. · Manage participant recruitment, scheduling, and logistics for classroom-based studies. 3. Data Collection and Analysis · Conduct quantitative and qualitative data analysis