58 multiple-sequence-alignment Fellowship research jobs at Nanyang Technological University
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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The AUMOVIO-NTU Corporate Lab is a strategic research collaboration between Nanyang Technological University (NTU) and AUMOVIO, supported under the Industry Alignment Fund–Industry Collaboration
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. The candidate will collaborate closely with academic researchers and industry engineers to transform research prototypes into deployable, high-performance solutions aligned with industrial requirements. Key
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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publications preferred Ability to work independently, manage multiple priorities, and meet project timelines Strong organizational skills, attention to detail, and collaborative mindset The College of Science
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multidisciplinary research Proven experience in product design, project leading and optics alignment. We regret to inform you that only shortlisted candidates will be notified. Hiring Institution: NTU
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to: Design, assemble, and align a single‑photon‑enabled scanning microscope; integrate detector modules, synchronization electronics, and time‑tagging workflows. Develop imaging protocols and benchmark
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collaborations across multiple research institutes. Key Responsibilities: Synthetic research in heterogeneous photocatalysis for energy/environmental applications Characterisation of novel materials Development
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, alignment, evaluation). Design multi-MLLM collaboration methods (knowledge transfer/distillation, federated learning). Build efficient training/benchmark pipelines and report results with clear metrics. Apply