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Field
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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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relationship between thrombosis and inflammation in numerous human diseases. As examples, inflammation contributes to the pathogenesis of thrombotic disorders such as stroke and coronary artery disease, while
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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quantum optics to support and advance quantum science research. The position involves theoretical modeling of quantum optical and many-body systems, numerical computation using advanced integration and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
-tolerance to the insulin producing beta cells, and 2) Development of immunotherapies for T1D. The work makes use of several genetically manipulated mouse models of T1D, as well as humanized mouse models, and
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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nonlinear, ultrafast, and integrated photonics. Develop predictive theoretical and computational models for optical materials and photonic devices. Perform numerical modelling and simulation of optical
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate