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The Institute for Digital Molecular Analytics and Science (IDMxS) of the Nanyang Technological University, Singapore, is searching for a Research Fellow (RF) to develop artificial intelligence
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the Laboratory of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens and
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of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. As a Research Fellow
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. To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware. To perform any other duties related to the research program. Job Requirements
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Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and
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equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of RF will focus on developing ab initio theory and developing software to describe and study groundbreaking
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electrochemistry and catalysis to Development and optimization of biomass chemical conversion technologies. Key Responsibilities: Design and evaluate solvent systems and additives for chemical transformations
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reference. Collaborating with AI scientists to provide domain insights that aid in the development of AI models. Performing experimental verifications of materials recommended by AI models. Publishing
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and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative optimization and Machine Learning models to address key challenges in the future airspace
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. Strong oral and written communication skills in English. • Preferred Experience: 1. Expertise in high-throughput computation and data management. 2. Development of interatomic potentials based