62 multiple-sequence-alignment Fellowship research jobs at Nanyang Technological University
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, prototypes, and trial systems. Identify delivery risks and recommend adjustments to scope, sequencing, resources, or partner responsibilities. Guide researchers and engineers without necessarily holding formal
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(equipment, chemicals, gases, and consumables) in alignment with research priorities. Establish and maintain laboratory-level management systems (e.g., inventory tracking, equipment coordination, SOP
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genetic manipulations to study sensory processing and motor sequence generation. Analyse experimental data, maintain reproducible research records and interpret findings in relation to neural circuit
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for molecular community analysis, genome sequencing and metagenomics. The candidate should be a talented marine microbiologist with experience working with marine microbes and field experience. Responsibilities
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical
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-cell RNA sequencing datasets. Contribute to manuscript preparation, grant applications, and presentation of research findings. Mentor junior researchers and contribute to a collaborative laboratory
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studies, animal models, organisation and management of research data, and integration of results across multiple study components. The successful candidate will contribute to data analysis, interpretation
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, government agencies, and community stakeholders. Initiate, coordinate, and manage collaborative research projects that leverage expertise across multiple disciplines and sectors. Identify opportunities
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characterization, data analysis, and interpretation, ensuring alignment with project objectives and timelines. Configure, operate, and optimize experimental setups for nanophotonic and optoelectronic measurements
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at NTU are looking for a Research Fellow (RF) to carry out research in probabilistic machine learning and GenAI, by exploring cutting-edge approaches such as sequence model design, continual learning