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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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Occlusion”. The doctoral student will analyse and process large amounts of research data, interpret and evaluate findings, and contribute to the preparation and publication of scientific manuscripts
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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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5 Sep 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 1 Oct 2026 - 12:00 (UTC
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5 Sep 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 1 Oct 2026 - 12:00 (UTC
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machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
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. Sweden, one of Europe's largest metal producers, generates large volumes of such waste each year, which can create environmental problems due to its reactive nature. This project aims to develop innovative
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10 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
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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for latent variables and their connections to modern machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates