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resources Work actively on these projects (literature research, writing paper drafts, business process analysis, user interview studies, data science, etc.) Applicants must: Have experience in project
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disciplines human identification and bite mark analysis. The plan is to extend beyond our research group’s current results and explore quantitative 3D matching of tooth surfaces from related individuals, and
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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
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and clinical outcome through comprehensive tumor profiling. The project integrates spatial transcriptomics, long-read sequencing, DNA methylation analysis, and microbiome profiling to gain a deeper
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on existential risk analysis. The postdoctoral researcher is, moreover, expected to carry out a research stay (funded by the project) at one of our advisory board members’ institutions ( Stanford University
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strong background in materials crystallography with measurement and analysis of diffuse scattering, including use of the 3D-DPDF method. Furthermore, the candidate preferably has experience in writing
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intelligence (AI) to optimize large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. Key research areas include: Enhancing Selection Decisions: How can we make
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cells, electroporation, multi-color flow cytometry, droplet digital PCR, DNA sequencing including NGS, viral vector production, and mouse xenotransplantation experiments. Analysis, interpretation, and
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, specifically within breast cancer and breast cancer survivorship. Make applications as needed for access to Danish population-based and medical registries. Independently perform statistical analysis using
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial