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synthetic organic chemistry, including reaction design, optimization, purification, and structural characterization. Strong command of spectroscopic methods (H/C NMR, mass spectrometry, chromatography, etc
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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-Time Regular/Temporary Regular Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The Temp Casual Employee will perform structured research-related work
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and bridge access gaps for diverse student populations. Collaborate with Marketing, Advising, Financial Aid, and academic departments to optimize recruitment, retention, and overall student success in
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. Ensure web server and site technical performance. Create web pages and tools for Stanford websites using core technologies. Create and/or modify clean, well-structured, search engine optimization-friendly
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will contribute to a better understanding of surface annealing processes, with the goal of achieving optimized control over the final material state, taking into account its crystalline structure as
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. Performance Optimization: Experience optimizing AI models for both accuracy and computational efficiency in resource-constrained environments. Security Awareness: Knowledge of security best practices for AI
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, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project description You will carry out research and development
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on concrete materials and structures. • Experience with concrete mixing and laboratory testing. • Experience with statistical analysis of experimental data and optimization techniques. Application
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand