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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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multiple Asian cohorts. The position focuses on data harmonisation, statistical genetics, and developing and validating machine learning cancer risk models. Key Responsibilities: Data harmonization
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The applicant should: have a Bachelor degree, preferably in Biomedical or related field; be able to work independently and in a team, be able to pay attention to details and learn new skills, have good
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Office of Graduate Studies and Professional Learning. Project
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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processing software (e.g., Adobe Photoshop, Lightroom, ImageJ) Exposure to or basic understanding of AI concepts and data preparation for machine learning Familiarity with biodiversity data platforms (e.g
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in