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contributing to competitive grant applications. Advanced quantitative analytic skills. Proficiency in SAS and/or R for large-scale health data analysis. Experience working with large administrative or clinical
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datasets. Design and implement analytical pipelines for data preprocessing, quality control, normalisation, clustering, differential expression, trajectory inference, and pathway enrichment analyses
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and synthesis of small molecules and/or compound libraries. Experience in analytical techniques, such as NMR, HPLC and LC-MS. Experience in compound data analysis. Experience in lab project supervision
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 14 hours ago
data generated from medical device materials under different extraction conditions in conjunction with physics- based modeling to develop the web-based tool. Learning Objectives: As a postdoctoral fellow
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. At least 5 years of research experience in IC design, processor architecture, or related fields
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics
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models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial models or second-order meta-analytic models
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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills