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Field
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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at the University of Oslo. The main goal is to develop tools and knowledge for precision medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging
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dilution refrigerators, measurement electronics and software, and fabrication processes all in place to achieve top scientific results without the need to build tools for years. Responsible and meaningful
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). The successful candidate will contribute to the Nudge2Green research project, applying software development and AI methods to design digital nudging tools that promote sustainable consumer behavior in food choices
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. The Centre runs a series of multidisciplinary studies involving hospital departments in Oslo and several research groups at the University of Oslo. The main goal is to develop tools and knowledge for precision
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technologies, tools, and services to facilitate a transformation to a zero carbon and resource efficient society. The MaREI Centre is an Research Ireland funded research centre headquartered in the ERI and
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experience with ROS Experience with simulation tools such as MuJoCo, Gazebo Prior exposure to machine learning and perception systems is an advantage Excellent communication skills and proficiency in English
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applications. Radiation detector response measurement and characterization experience. Familiarity with radiation transport simulation codes such as GEANT4 and PHITS. Familiarity with AI-tools used for image
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curiosity-driven fundamental research. You will be trained to work in our lab and use the tools needed for your project. You will be encouraged to build your own scientific reputation by networking with our
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., Argonne’s TDCosim) for integrated analysis of microgrids, DERs, and utility-scale systems; implement methods to synchronize transmission-focused simulators with distribution-level tools. Demonstrate