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Field
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include: · PhD in biology, biochemistry, or other life science or a Master’s degree with at least five years of scientific writing, grant and manuscript writing, clinical study design, or clinical
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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for magnitudes between 7 and 8. Research program The project will aim to adapt PEGSGraph (Juhel et al., 2024), a graph neural network we designed for rapid magnitude estimation from PEGS (Hourcade et al., 2025) in
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with GREYC (UMR CNRS 6072), the computer science laboratory of Université de Caen Normandie, particularly in machine learning and graph-based approaches. Depending on the scientific questions addressed
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program. Participate in outreach, workshops, and related educational activities within CCE. Perform other related job duties as assigned. Basic Qualifications PhD in chemistry, chemical engineering
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Environmental science » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Sep 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Other Type
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-center clinical datasets and contribute to translating advanced computational methods into clinically relevant applications. This PhD position offers a unique opportunity to work at the intersection
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. This PhD will develop agentic explainable AI methods for nucleotide foundation models. Building on emerging preliminary work in the AI for Bioscience group, the project will create computational methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
. Required Qualifications, Competencies, and Experience This position requires a Masters or PhD in applicable field and at least 2 years of relevant work experience. Excellent written and oral scientific