1,452 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Singapore
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channels; - Ensure consistency in the Museum’s brand identity, messaging and tone of voice across all communication channels; - Ensure information published across all platforms is scientifically accurate
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Officer (e.g., assists withethic submission or activities related to research operation, data monitoring andmanagement). 2.You will be expected to obtain additional training to improve required skills
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your application including your CV and names and contact information of 2 references to anne.bendt@nus.edu.sg More Information Location: Kent Ridge Campus Organization: Yong Loo Lin School of Medicine
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guidelines to drive efficiency and align with industry best practices. Perform data analysis and generate reports for both internal and external stakeholders to support decision-making and track progress
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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multi-tasking skills, with a strong sense of responsibility for completing assigned duties on time Proficient in IT skills Good documentation skills, laboratory techniques, research and data analysis
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skills, with a strong sense of responsibility for completing assigned duties on time Proficient in IT skills Good documentation skills, laboratory techniques, research and data analysis skills Experience
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
decision-support systems and language interfaces. Develop GenAI POCs with safety-critical application as central focus. Curate, process, and analyze air traffic and domain-relevant textual data. Design and
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, digital marketing agency. Familiarity with data privacy standards, WCAG/ADA compliance, and enterprise IT policy. Demonstrated thought leadership in digital strategy, analytics, or technology adoption. Why
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation