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The Earth Observatory of Singapore (EOS) at Nanyang Technological University in Singapore invites applications for the position of the Research Fellow in Volcanic Petrology. The Research Fellow will oversee the operation of the state-of-the-art analytical facilities (LA-ICP-MS, FEG-SEM) and...
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The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable...
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on CAD and/or Finite Element Analysis for design and drawing of components. Assist on project and grant management support for the co-directors. Job Requirements: Ph.D. in Materials Science, Mechanical
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energy-related systems such as lithium-ion and lithium-metal batteries. Familiarity with high-throughput simulation workflows and materials discovery pipelines. Demonstrated ability to design and fabricate
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innovations, and provide professional services. For more details, please view https://www.ntu.edu.sg/cee We are looking for a post-doc research fellow to work on a newly awarded project on spatial concurrence
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, metal-organic frameworks, and perovskitoid microstructures. Develop materials platforms for long-persistent luminescence and NIR-II emission applications, with potential use in information photonics and
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manufacturing Definition of appropriate material stacks, materials and processes products from chemical and mechanical aspects Chemical characterization of materials within component specifications Chemical
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/materials science, AI/ML, and computational modelling (DFT, MD, etc.) Good publication record Good written and verbal communication skills Proficiency in programming We regret that only shortlisted candidates
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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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computational materials science techniques (DFT, MD, machine learning force field modelling) with data-driven approaches. Work with team to design and implement high-throughput experimental workflows for rapid