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involves entering and maintaining collected data, some graphing and supervised data analysis. Preferred Qualifications: Biology Bachelor's Degree 1-3 years General Lab experience Related course of study, and
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's
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of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges
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graphs and network medicine • Translational data science for therapeutic discovery Primary Responsibilities: The Postdoctoral Research Associate is expected to lead and contribute to independent and
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services. • Comfortable working with PowerShell and automation technologies in cloud environments, including Azure Functions, Azure Automation, Microsoft Graph, and Power Platform administration
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language models and knowledge representations of knowledge graphs under the Pytorch environment are expected. Target data are written in English. Where to apply Website https://jrecin.jst.go.jp/seek
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systems. Familiarity with cloud computing environments (e.g., Azure, AWS or GovCloud equivalents). Introductory experience with graph‑based ML or GNNs is a plus Monte Carlo or stochastic simulation methods
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The i3S laboratory (https
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goals on our lab website (https://hscrb.harvard.edu/labs/arlotta-lab/). In addition, the Arlotta lab is actively working to foster an equitable and inclusive community. Basic Qualifications · Ph.D. degree
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(7913), 319-324. https://doi.org/10.1038/s41586-022-04672-7 Hourcade, C., Juhel, K., and Bletery, Q. (2025). PEGSGraph: a Graph Neural Network for fast earthquake characterization based on Prompt