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experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics Demonstrated track
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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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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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Requirements: Candidates should have a PhD, and/ or MD, or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills. Self-motivated and well-organized with
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Qualifications: A Masters or PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or any discipline related to child development. Experience: Candidates with the following skills
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KONG CHIAN NATURAL HISTORY MUSEUM, FACULTY OF SCIENCE, NATIONAL UNIVERSITY OF SINGAPORE (1) Yang Chang Man Research Fellowship in Biodiversity (2) Leo Tan Research Fellowship in Biodiversity The Yang
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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, teaching and research relating to ethical and legal aspects of healthcare and biomedical sciences. We are responsible for the development and delivery of the Health Ethics, Law and Professionalism programme