164 parallel-processing-bioinformatics research jobs at National University of Singapore
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. Technical Skills: Proficiency in medical statistics, data science, and applications across various domains. Skills in processing and analyzing large datasets, data wrangling, visualization, big data analysis
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of the feasibility assessment for the community-based falls intervention. This process also includes verifying and coding verbatim transcripts from these interviews to maintain data integrity and
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Research Process, clean, and analyze large-scale clinical datasets (e.g., EHRs, sensor data) using advanced tools (e.g., Python/R, SQL, Hadoop/Spark). Develop predictive models (e.g., machine learning, NLP
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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– Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis and result tabulation. Phase 5
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processing software (e.g., Adobe Photoshop, Lightroom, ImageJ) Exposure to or basic understanding of AI concepts and data preparation for machine learning Familiarity with biodiversity data platforms (e.g
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., QGIS or ArcGIS). Experience with remote sensing data collection and/or processing. Experience with drone operation is highly preferred. Experience with managing and processing data with programming
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create a collaborative and engaged user community. A special focus lies on the operation of the multiphoton and FLIM microscopy systems and establish intravital imaging pipeline. Main Duties and
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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support for the MSc SHE -Corporate programme. • Provide support to faculty members with resources from NUS offices and IT systems. • Provide support to MSc SHE programme’s operational processes