58 multiple-sequence-alignment Fellowship research jobs at Nanyang Technological University
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. Learn more about our lab at https://www.richardshelab.com/ . Key Responsibilities: Design and lead a novel research project aligned with your scientific interests and the lab’s experimental strengths
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interdisciplinary teams to align AI research with ethical standards and best practices in AI safety. Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research
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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability
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these codes in C++ or Fortran Adopting these codes for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in
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research manuscripts to publish at the top-tier venues Stay abreast of the cutting-edge developments in AI research--particularly pertaining - Large language models - Multimodality - Model alignment and
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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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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, ANGEL creates and deploys impactful green digital technologies for global sustainability. ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and
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frameworks and support large-scale applications. Design efficient privacy-enhancing protocols to improve the security and privacy of machine learning systems. Collaborate with interdisciplinary teams to align
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quality impacts of sectoral emissions and transboundary air pollution across multiple spatial scales, exploring regional climate change driven by land-use transitions and global climate change, and