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Field
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simulation and AI-supported data analysis are central tools. The work is carried out at the Department of Fibre and Polymer Technology and in collaboration with FOI and industrial partners. Qualifications
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focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
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engages in continuous professional development. Desirable criteria Experience of network analysis/graph theoretical techniques; Experience working with data related to mental health. Downloading a copy of
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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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that accelerate excited-state simulations, integrate them into open-source scientific workflows, and validate their accuracy and performance on energy-relevant molecular and materials systems. You will also create
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the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials discovery. The position
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characterization results and electromagnetic simulations Contribute to the development of integrated instrument systems for the characterization of solid-state single-photon emitters, including photon correlation
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by Prof. Andrzej Zdziarski . The main task of the postdoc will be to investigate accretion flows onto spinning black holes by means of numerical simulations in collaboration with Dr. Hab. Krzysztof
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Postdoctoral Research Fellow: AI, XR, & Human-Centric Simulation We