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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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by Management in addition to tracking key performance Indicators. Other responsibilities include following up with researchers and administrators on annual compliance renewals, grant application
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image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement
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to our new Eye tracking lab and specialist software, including subscriptions to gorilla.sc and Qualtrics. Students will also become members of the Language Research Centre – an interdisciplinary research
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Dental School after graduation from BGSU. Eligibility: Must be a student in the Pre-Dentistry track; Must be in good academic standing; Must be planning to attend Dental School after graduation from BGSU
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build from this track record, exploring new and exciting directions in chiral materials research. From a technical standpoint, the project will involve include synthetic chemistry, materials chemistry
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be awarded each year, with one scholar named in each of the following tracks: The Sachs Scholarship at Worcester College, University of Oxford, where Sachs continued his own education after Princeton
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In the current times of global challenges, high-quality research in Economics is more important than ever. The pathway brings together the distinctive expertise and track record of research