576 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-RIJEKA" positions at Nanyang Technological University
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boundaries of AM material innovation and supports NTU’s commitment to sustainable and impactful technological development. Key Responsibilities: Conduct data acquisition campaigns, collecting synchronized
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, etc.) to drive engagement and audience growth. Website Management: Assist in maintaining and updating the NTU EEE website, including news, student highlights, and event information. Event Marketing and
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programmes into practice. Applicants with interest in doing post-graduate studies, honing their skills in conducting advanced data analysis and publishing research papers are invited to apply. This position is
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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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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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reports/data by staff. Provide payroll posting related information for internal and external audits. Address employee inquiries and concerns related to payroll and claim posting. Educate employees
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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
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benchmarking on trends within the Institute of Higher Learning (IHL) landscape and academic programmes at NTU and peer universities. Collect, consolidate and analyse data relating to academic programmes and
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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