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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
Team in developing and validating optimized workflows and analytical methods to improve efficiency, consistency, and scalability of RWE submission monitoring and public reporting. Contribute to creation
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
Team in developing and validating optimized workflows and analytical methods to improve efficiency, consistency, and scalability of RWE submission monitoring and public reporting. Contribute to creation
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
/inverse methods expert within SERENE. Assist in the training and support of other early-career members of SERENE. Main Duties The responsibilities may include some but not all of the responsibilities
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conventional simulators. Finite element-based methods such as Mixed-Finite-Element or Control-Volume methods are convenient thanks to their suitability for complex unstructured grids. Applications are sought
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Description Multiple postdoctoral fellowship opportunities are available with The Institute for Emerging CORE Methods in Data Science (EnCORE), a TRIPODS Phase II institute funded by the National
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strengths that include synthetic, biological and medicinal chemistry. We are looking for a Research Fellow in Organic Chemistry to develop sustainable synthetic methods for high-value glycosides through
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The successful candidate will work with Prof Zhao Yu on catalytic method development under a project on "Efficient Conversion of Biomass to Fine Chemicals". The main responsibilities of the position
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. The Risk and Infrastructure Systems Lab, led by Asst. Prof. Alex Sixie Cao, develops quantitative methods for understanding and managing the reliability, robustness, and safety of structures and
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
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techniques such as electrochemistry, AFM, SPR, QCM-D, CD, FTIR, fluorescence microscopy, or related methods is desirable.