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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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simulation software modelling the dynamic behavior of dislocations (DDD) in 3 dimensions, coupled with a spectral solver based on FFT. The procedures must analyze the simulated 3D microstructures to compare
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 27 days ago
and Simulations Lab”. Where to apply Website https://jobrxiv.org/job/research-assistant-researcher/?utm_source=euraxess Requirements Additional Information Work Location(s) Number of offers
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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, the CSATLab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools
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of celestial sources observable with XRISM, simulations of potential XRISM observations, relevant laboratory astrophysics, development of spectral models or atomic codes, or exploring synergies between XRISM and
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. This technology is being developed principally for space applications, but we are also using this to support a vigorous program in laboratory astrophysics using an electron beam ion trap to simulate astrophysical
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improved care for people affected by prostate cancer (PCa) or kidney cancer (KC). This position will focus on modeling AI trustworthiness and explainability in medical data and models (mainly imaging data