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Field
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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
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Overview of the Role Are you an ambitious researcher looking for your next challenge? Do you have an established background in hydrology and climate modelling? Are you looking to make a real-world
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% super Pioneering multicellular interface modelling within an open source framework and three translational case studies. Apply now to develop unified multicellular modelling tools and drive experimental
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systems. Position Responsibilities Architect and implement large-scale, georeferenced 3D digital twin models Develop computational pipelines for integrating vector, raster, terrain, LiDAR, and
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection
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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
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Apply Now How to Apply Applicants should submit the following as a single PDF through the University of Michigan job portal: 1. Cover letter describing qualifications, research interests, and fit
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correction and disease modelling organoid systems, to join our world-class research team at the Frazer Institute to support and drive dermatology research. This position builds on our recent foundational work
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, psychology, and related fields. Research areas include foundation models, multimodal learning, social robotics, AI for education and healthcare, behavior modeling, and trustworthy human–AI interaction
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools