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this highly collaborative role, your work will be responsible for developing multi-scale models, spanning from the atomistic to the meso-scale, and performing the simulations that will feed into the model
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
approaches for connectomics datasets. The lab develops computational approaches to reconstruct, analyze, and model large-scale connectomes, aiming to uncover organizational principles of neuronal circuits and
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complementary satellite data (e.g. multispectral, multi-frequency SAR sensors) to improve the characterization of forest structure, biomass and deforestation dynamics at various scales. Development
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across
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duration → Term of assignment: from 15 October 2025 till 31 December 2025 → Wage scale: PD1 to PD4 (doctoral degree) → Required diploma: PhD ABOUT GHENT UNIVERSITY Ghent University is a world of its own
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infrastructure that enables secure, large-scale data integration across Europe. The postdoc will focus on two pillars: Multi-omics data integration: developing robust pipelines and frameworks for preprocessing
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scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing
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to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD