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given to how the applicant’s experience and skills complement and strengthen ongoing research within the department and how they stand to contribute to its future development. Terms of employment This is
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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, induce characteristic mutational signatures, and promote genomic instability, transcriptional dysregulation, and tumor evolution. The central hypothesis is that nanoplastics selectively bind to specific
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reconciliation. In this role, you will be responsible for developing and evaluating intergroup interventions in the field in order to understand which interventions, under which contextual conditions, can