112 machine-learning-"https:"-"https:"-"https:"-"https:" Fellowship positions in Singapore
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Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus. Recruitment is open immediately and
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. Equipped with effective organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize, multi-task and work
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meetings with collaborators. Possess strong interpersonal, writing and presentation skills, with a passion for learning. Only shortlisted candidates will be contacted. Salary and benefits are commensurate
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on a regular basis to the management, to continue to learn Leadership Competency: Ability to build rapport and influence stakeholders at all levels Ability to work collaboratively in a fast-paced
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for a highly motivated researcher to join the Centre for Holistic Initiatives for Learning and Development (CHILD), Yong Loo Lin School of Medicine, National University of Singapore. The position can be
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discussions. As such, understanding the contribution of book clubs to adult literacy, and how these informal learning communities can extend and prevent the atrophy of our literacy skills, is crucial. Using
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA. Develop simplicial models for molecular representation, featurization, and learning, particularly in the context
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, climate-driven changes in pollutant dynamics, and associated health impacts by developing and applying deep-learning approaches to enhance air quality predictions and long-term projections under diverse
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-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with