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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
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of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems
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analysis tools. Data-driven Life Science Fellows program We are seeking a postdoctoral researcher to pursue curiosity-driven cell and molecular biology research in a team that uses AI and automation as
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. An interdisciplinary approach, integrating systems and policy perspectives with behavioral psychology, will deepen the analysis. Who we are looking for The following requirements are mandatory: A doctoral degree in
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develop frameworks and principles for increased joint cross-sectorial analysis of supply chain risks and disturbances. This includes qualitative and quantitative aspects of analyzing governance, risk
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; Collect, manage, analyse, and interpret data using transparent and reproducible workflows; Conduct evidence synthesis, meta-analysis, comparative analyses, or environmental modelling; Comply with relevant
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studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
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of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
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for increased joint cross-sectorial analysis of supply chain risks and disturbances. This includes qualitative and quantitative aspects of analyzing governance, risk mitigation (e.g. preparedness stock piling
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sample preparation. ALD deposition of ferroelectric films. Measurements, data analysis and interpretation. Structural interface characterization. Research within the subject area. Teaching in the first