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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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optimally interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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integral member of multidisciplinary healthcare teams, communicating effectively with physicians, APPs, nurses, pharmacists, therapists, and other healthcare professionals to optimize patient outcomes. Seek
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imaging strategies, including reinforcement-learning approaches that dynamically optimize sampling based on environmental conditions such as turbidity and currents Lead the preparation of manuscripts
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interdisciplinary scholarship and be excited about substantial conversation and collaboration with other disciplines. This postdoctoral fellowship program aims to create a cohort of researchers optimally positioned
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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). The project focuses on experimental design, optimization, and construction of entangled and/or squeezed states of light for a range of applications. The role also involves building and setting up various
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 1 day ago
experiments (ELISA or SPR) Develop and optimize protocols for sample preparation and imaging by cryo-EM Collect and analyze cryo-EM data using a Tundra microscope Monitor and troubleshoot experiments Analyze
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of optimizing pipelines for large-scale genomic projects. Special Instructions Required documents: CV Research summary of PhD work. Cover letter describing your interest in the lab and initial ideas for new