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for one or more Postdoctoral Research Fellowships in the Black Hole Initiative (BHI) at Harvard University. Fellows will pursue research on theory, simulations, instrumentation, or mission design and
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of single vortex in superconducting nanostructures including the design and fabrication of samples using electron-beam nanolithography and performing the corresponding simulations using the Ginzburg–Landau
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development of open-source, machine learning–based software for inferring evolutionary history from genomic data. Design and run population genetic simulations to generate training data and validate theoretical
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. You will build simulation agents that predict materials properties (such as Li-ion conductivity in solid electrolytes) autonomously and at scale, validate them against thousands of real A-Lab
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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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summarizing their relevant qualifications, and a copy of their curriculum vitae. Basic Qualifications Doctorate or terminal degree required. Department Contact for Questions Inquiries about the position may be
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for studying nanoscale magnetic and magnet-superconductor hybrid systems, and implement these in numerical simulation codes. Interested candidates should send a motivation letter, a CV and the contact
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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include: development and implementation of numerical codes for time evolution in AdS, holographic studies of turbulence, holographic simulations of heavy ion collisions, calculations of quasi-normal modes