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-cell or spatial genomics, in vivo imaging, cellular/molecular immunology, or GPCR signaling. • Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines
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. Computing and analysis – Illustrator, Powerpoint, Excel, Word, ImageJ, HTML 9. Documentation – daily record of work performed in files and laboratory notebook Scholarship: 10% 10. Contribute data and ideas
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5 Sep 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Sep 2026 - 12:00 (UTC
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or health-related disciplines, with multiple years of relevant experience. They should demonstrate strong competency in qualitative and quantitative data analysis and have a good command of written and
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. deep learning. Experience with at least two of the following: remote sensing of surface and ground water resources, analysis of satellite gravimetry (GRACE) data, analysis of radar and optical remote
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in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. • Data Analysis: Process large-scale neural datasets, applying computational tools to model behavioral and neural
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research projects. Prepares research data (e.g., coding and cleaning) for analysis. Analyzes research data, performs quantitative analysis, and summarizes findings. Writes and contributes to research papers
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and the entire Department of Energy (DOE), providing analysis on domestic energy policy. Its work spans technology policy, infrastructure policy, state, local, tribal, and territorial policy, and energy
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optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, high-throughput experimental
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and analysis of structural materials based on metals, ceramics, and composites, including the study of their degradation, combined with advanced data analysis. Responsibilities also include achieving