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Field
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responsible for conducting numerical and theoretical studies of turbulent flows and their associated geometric structures, focusing on passive and active scalar fronts, multiphase mixing layers, and
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of Biochemistry, Molecular/Cell Biology, and/or BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset
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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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on Svalbard and involve field work activity in Svalbard, during both winter and summer seasons and the implementation of the measured data into numerical models. Travel to the project’s partner institutions
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opportunities. Responsibilities: Write and run evolutionary biogeochemical numerical models to simulate lifeless and inhabited worlds, and develop disequilibrium-, redox-, and information-based metrics
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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, MD simulation, DFT modeling) Numerical methods in mechanics of materials for fatigue If interested, please send your application materials with the subject line “Postdoc in AM” to Dr. Amir Mostafaei
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, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming Experience with modelling the climate, photochemistry, or escape
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these nanocomposites, we are looking for a postdoc to further develop high performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core
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between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between