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-resolved measurements with fs resolution, advanced data-analysis methodologies, and experience with time-varying metamaterials. The opportunity to contribute to a pioneering research programme aimed
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degree (120 ECTS) or equivalent in Electrical Engineering, Renewable Energy, or a related discipline (final‑semester candidates may apply). Experience with scientific programming and data analysis
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experience employing qualitative methodologies for data collection, processing and analysis; Proven experience in science communication, institutional communication and/or communication for research units
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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, or analysis of biomedical data, is an advantage. Excellent written and oral communication skills in English are required. The successful candidate should be able to work independently while also contributing
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infrastructure and surrounding terrain. The work can include physics-based modelling of e.g., various events and wave propagation through different media, signal processing, large-scale data analysis, algorithm
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population genetics or population genomics. • Experience with bioinformatic analysis of Next Generation Sequencing data, including command-line work in a high-performance computing environment
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11 Aug 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Faculty of Biosciences, Fisheries and Economics (BFE) Research Field Geography Anthropology Political
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, durability, and structural testing of cement-based materials is an advantage experience with data processing and analysis of material or structural response is desirable Personal qualities strong ability
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-scale testing, numerical modelling, and field investigations familiarity with strength, durability, and structural testing of cement-based materials is an advantage experience with data processing and