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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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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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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Tortosa group at Universidad Autónoma de
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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of resistive switching mechanisms in meta/insulator/metal memristive materials Qualifications • PhD in Computational and Applied Physics • Proficiency using software for the simulation of atomic structure
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, translational, and genomic research projects. Design, implement, and optimize experimental and computational research methodologies. Perform quality control, phasing, imputation, association testing, meta
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About the job: This post offers an exciting opportunity to join a collaborative programme of systematic review work conducted jointly with Cochrane Cystic Fibrosis and the wider Cochrane global
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Functions below); the most common will be Statics, Dynamics, Mechanics of Materials. Faculty should be prepared to teach assigned courses during the day or evening, based on program and student needs. Adjunct
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subject-matter expert and strategic advisor on paid media. Campaign Management & Optimization — 30% Manage paid campaigns across platforms such as Google Ads, Meta and LinkedIn, as appropriate. Build
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applications, equivalent and efficient physics-based AI meta models, and corresponding model predictive control schemes will be validated based on the data collected. The development of the high fidelity models