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and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and bioinformatics analysis for large-scale spatial
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– “A human-like progressive learning paradigm for embodied AI: Meta skills for robots by watching and imagination”. They will be required to: (a) identify irreducible low-level sensorimotor units
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spatial and remote sensing data for surveillance for zoonotic and vector-borne diseases across Southeast Asia. This position offers the opportunity to work on ground-breaking research projects in the broad
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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trials, multiple endpoints, adaptive designs, Bayesian design and analysis methods, estimands, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, patient experience data, bioequivalence
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supervisors and wider project collaborators. The role will include developing review protocols, screening studies, extracting data, undertaking risk-of-bias assessment, synthesising evidence, performing meta
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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claims and electronic health data to examine healthcare utilization, quality of care, treatment patterns, and outcomes among individuals with diabetes. Participate in systematic reviews and meta-analyses
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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To contribute to the creation of sample size calculations for Individual Participant Data (IPD) meta-analysis projects by undertaking a range methodology research activities within an NIHR-MRC funded project