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Field
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). The selected candidate is expected to work on: • physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework • high-level exploration and modeling
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or market analysis; or producing implementation-focused outputs for policy and industry stakeholders. Qualifications A PhD (completed or near completion) in a relevant discipline, such as construction
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architectures. The role will involve advanced optical spectroscopy and characterization techniques, including real-space and Fourier-space imaging, polarization- and time-resolved measurements, room-temperature
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. The research will involve developing analytical models, performing large-scale numerical simulations of open quantum systems, investigating decoherence and noise processes, and exploring new architectures and
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/readout architectures. Key Responsibilities: As an integral part of the project, the Research Fellow is expected to conduct research in integrated polaritonic devices and waveguides, including the design
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methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep learning architectures
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9 Jul 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Aug
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About the Programme The Trans-Asian Material Histories of Architecture and Conservation programme examines how building materials, craft practices, construction techniques, contractors, commercial
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position for up to 12 months Base salary will be in
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/Anders Lien 9th September 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive Neuroscience Apply for this job See advertisement About the position Position as PhD