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PhD student in generative modeling for data-efficient machine learning Norrkoping Reference number LiU-2026-02831 We are now looking for a PhD student in machine learning with a focus on generative
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cellular models (cancer/healthy/immune) and planning exposure paradigms (acute or chronic scenarios). The applicant will also handle data analysis, interpretation, and visualization, write manuscripts and
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, qPCR, ELISA) You have an interest in bioinformatics (R) and can actively perform omics-analyses You have experience with data visualization and analysis software including GraphPad Prism, and
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, symposia Involvement in organizational tasks related to research, teaching, and administration (Further) development of strong communication, data presentation, and visualization skills (Further) development
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infection. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this
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statistical modelling and visualization Analyse sequencing-based and potentially other omics data Contribute to experimental planning, data management, manuscript preparation, seminars and scientific
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British Virgin Islands (BVI). To facilitate the analysis of this extensive corpus, the project will explore advanced data analysis methods, visualization tools, and generative AI technologies, including
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and the British Virgin Islands (BVI). To facilitate the analysis of this extensive corpus, the project will explore advanced data analysis methods, visualization tools, and generative AI technologies
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and the British Virgin Islands (BVI). To facilitate the analysis of this extensive corpus, the project will explore advanced data analysis methods, visualization tools, and generative AI technologies
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in the department administration as well as in teaching and research administration Strong communication, data presentation and visualization skills Ability to work both, independently and