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Field
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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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datasets. The Project Assistant will aid these pursuits through processing and analyzing large-scale tau-PET data, adapting existing analysis pipelines, and analyzing new data. Other tasks within
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conducts theoretical, methodological and applied research, with emphasis on statistical methodology for large-scale and register-based data and on applications of societal relevance. The successful candidate
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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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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natural language processing with causal estimation. Recent directions in the project include using large language models to remove treatment-predictive information from text, benchmarking debiasing
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biological processes in Alzheimer’s disease and other neurodegenerative diseases. We analyze large datasets collected from patients and cognitively unimpaired volunteers, who undergo extensive testing with
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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