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Field
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digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Experience from relevant research projects will be considered as positive
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interest in wearable data analysis are an asset Experience from relevant research projects will be considered as positive The candidate should be able to work independently and possess good communication
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distribution. Developing and applying high-throughput data analysis methods for TEM experiments. Investigating corrosion initiation and propagation mechanisms and linking them to alloy composition and processing
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Iceland (up to 6 months) and the Faroe Islands (up to one month) to conduct sampling, sample analysis and a laboratory experiment. We are looking for someone who is flexible and enjoys travelling
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analysis Fieldwork experience on sea ice First-author publications in peer-reviewed literature Documented good oral and written communication skills in English Additional desirable qualifications, knowledge
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with post-DFT analysis and processing tools for electronic structure
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with post-DFT analysis and processing tools for electronic structure
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cycles and rapid transient stresses (e.g., short circuits and inrush currents). Accelerated ageing experiments under compression to study long-term deformation and material degradation. Analysis of fast
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analysis. Experience with bioinformatics or ML-assisted sequence analysis. Familiarity with metagenomic library construction or screening methods. Candidates with experience in microfluidics will be
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generation. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent