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Field
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Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain data storage and usage of high-performance computing
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demonstrated expertise in real-world robotic applications. • Extensive experience in sum-of-squares (SOS) algorithm, hands-on experience in developing high-performance optimization solvers for robotics
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/or cereal grain proteins; b) Proficiency in handling human cell cultures in vitro and in approaches to simulate gastrointestinal digestion of foods; c) Practical experience in (ultra) high-performance
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that directly relate to this position. The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine & Bioinformatics, is seeking candidates for a postdoctoral research fellow position
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: Two-Sample Test for High-Dimensional Covariance Matrices [RI 4/22 ZTM] Project Introduction: With the rapid development in data collection and storage techniques, vast amounts of information
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the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required to design and perform experiments
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tools (e.g. kneadata, metaphlan2, HUMAnN) Experience working in high performance computing cluster Experience in AI/ML, cloud computing, web development are assets Hiring Institution: LKC
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), including during a postdoctoral fellowship. Experience with high-performance computing centers as well as with modern statistical software (R, etc.) and programming languages (Python, etc.). The candidate is
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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germ-free and conventional mice Perform high-dimensional data analysis (single-cell/spatial transcriptomics, genomics, metabolomics, immunoprofiling) and integrate findings with clinical datasets