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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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Postdoc who can perform high quality statistical research. Apply August 31, 2026, at the latest. The Department of Statistics conducts research within the field of statistics and data science, including
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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, identifiability analysis, or dynamical systems modelling is particularly relevant. Prior knowledge of cell wall biology is not required. Contact Information Project A Laura Bacete Cano, Assistant Professor
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, statistics, medicine, or a related field. This requirement must be met at the time of the employment decision. Training in statistics, data processing, and/or bioinformatics is expected. Merits We are looking
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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implementation science or translational research • Experience in quantitative data analysis and/or mixed methods • Knowledge of behavior change theory • Experience working with older adults • Excellent verbal and