1,397 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Singapore
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understanding of acid and alkaline leaching, solid–liquid separation, and purification techniques. Ability to independently plan experiments, analyze data, and troubleshoot process issues. Experience working with
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all levels. • Proficient in Microsoft Office. • Meticulous, proactive and resourceful. • Tact and discretion in handling confidential information. More Information Location: Kent Ridge Campus
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. Process fixed asset requests via ServiceNow, including updates to master data, custodian and location codes, asset-on-loan records, and creation of donated asset records based on information from Schools
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, patents, and publications. Job Requirements: PhD in Computer Science, Information Security, Engineering, or a related discipline. Research experience in software/system security, fuzz testing, or embedded
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-centred design and AI, with a focus on how AI technologies—such as natural language processing, computer vision and sensors—can be leveraged to enhance the human condition. The candidate will contribute
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deadlines Strong interpersonal skills, with the ability to work collaboratively both within and across teams More Information Location: Kent Ridge Campus Organization: Office of University Communications
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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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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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: 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