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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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. Several UK groups, including Liverpool, are actively engaged in the R&D phase and will play key roles in construction, working closely with international partners. We are looking for candidates with a PhD
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and publications, Ability to analyse and interpret complex environmental datasets, Ability to work independently Additional Information Eligibility criteria Mandatory: *PhD in Environmental Engineering
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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Requirements: Master’s degree or PhD in biology, ecology, environmental sciences, marine sciences, or a related field Ability to work with complex ecological or environmental datasets Experience with data
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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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recognition modules into functional immune cell therapies. The project is part of a large team that also allows close integration of AI-guided design and experimental validation. Responsibilities and
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team