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· Designing and performing experiments · Data analysis and manuscript preparation · Presentation of results internally and externally · Collaboration with other scientists
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inference and natural language processing. A central challenge when drawing causal conclusions from observational data is adjusting for confounding factors. In the social sciences, many of these factors
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or scale-up of algal cultures; biomass harvesting and characterization; trace-element analysis; geochemical or mineralogical methods; and statistical analysis of multivariate experimental data. Personal
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. Contribute to optical instrumentation development, data analysis, and integration with complementary microscopy techniques. Investigate nanoparticle behaviour and interactions in complex environments and
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your research interests and relevant experience; (2) CV with full publication list, (3) contact information of two to three referees. Union representatives: https://internt.slu.se/en/my-employment
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost every process that
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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platforms, supporting user studies, and contributing to innovative projects that explore the future of human-centred technology. Information about the division/the project The Department of Computer Science
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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