812 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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Technologies (AICET) under one of the AICET’s projects. Current projects include: Codaveri – An auto-feedback programming system Coursemology - a gamified e-learning platform Softmark – An online grading too
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. • The ability to work independently and collaboratively within a multidisciplinary team. • Strong writing, critical thinking, communication, and presentation skills. • Experience in Machine Learning is a
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tools (e.g. RPA, intelligent document processing, workflow automation) Experience designing dashboards and reports using modern BI tools (e.g. Power BI) Working knowledge of AI / machine learning concepts
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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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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biomedical laboratory work; assist with experimental workflows as required Qualifications Diploma in Biotechnology, Biomedical Science, or a related field Basic computer proficiency (email, Microsoft Office
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projects. Familiar with text or image data processing, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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efficiency by learning from and collaborating with other clinical trial networks. In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its
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. Experience with data-driven modelling, machine learning, or AI applications in energy systems is an advantage. Familiarity with modelling of energy networks, district cooling systems, or integrated urban