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taxonomy. The project is a partnership between MSU, Pacific Northwest National Laboratory (PNNL), and Lawrence Livermore National Laboratory (LLNL), and directly feeds into next-generation Earth System Model
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transmission, in health and in animal models of Parkinson’s disease. You will also help to train and supervise other members of the Group. This full-time post is available from 1st November 2026 until 31st
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of laboratory training materials, SOPs, and onboarding resources. Model a culture of rigor, intellectual curiosity, and psychological safety within the team. Lab stewardship & funding Ensure compliance with
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(PyTorch or JAX) • Fundamental knowledge of physics, chemistry, and materials science. • Development or working experience of generative models in scientific applications (e.g., diffusion model, LLM
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 7 hours ago
Relativity (ACR) department at the Albert Einstein Institute (AEI) in Potsdam works across the full chain of that transition — from first-principles modeling of strong-field gravity, through numerical
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financial models; develop scenarios and forecasts; perform variance, trend, sensitivity, and cost-benefit analyses; and identify material financial drivers. Strong understanding of operating budgets
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analysis results integrated with their associated genomes and accumulated over more than a decade of research. Genome and protein foundation models are advancing quickly, yet almost none of that progress has
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, generating process, material, and structural data to support model development, validation, and process consolidation. Develop and apply physics-based and data-driven modeling frameworks to describe, predict
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on developing circular production routes for silicon and silicon carbide, key materials for high-temperature and high-performance applications. The project brings together materials science, powder technology
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methods that connect sensing, artificial intelligence, and decision-making for agricultural, food, biological, energy, environmental, and materials systems. The lab's core methodological focus includes