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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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. for linear topographic wave generation), which will be verified against idealised numerical simulations using Oceananigans. Existing oceanic observations will be used throughout to identify the relevant
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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
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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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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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of AI for QC led by Dr. Thorpe in the Department of Chemistry. The research will focus on the development and implementation of AI/ML techniques to extend and accelerate quantum chemical simulations
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how