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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
, experimental design, experimental implementation and a critical approach to data analysis. The applicant should have relevant original first author papers or submitted manuscripts in recognized and relevant
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candidate will possess proficiency in: Policy engagement, stakeholder consultation, and socio-economic analysis in an agri-food context. Advanced communication skills and the capability to interact
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candidate will possess proficiency in: Policy engagement, stakeholder consultation, and socio-economic analysis in an agri-food context. Advanced communication skills and the capability to interact
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one or more of the following areas: Bioinformatics, Gene-expression analysis, Single-cell RNA-sequencing, and Spatial Transcriptomics. It is most important that you possess bioinformatics/computational
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collaboration between the university and hospital to foster innovative, interdisciplinary research that bridges basic science and clinical practice. Training in state-of-the-art technologies and data analysis as
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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machine learning, statistics, time series analysis or similar field Demonstrated ability to conduct outstanding research with measurable impact Experience with Python, especially related to machine learning
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single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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, Fortran, or other relevant languages. Knowledge of statistical methods for climate data analysis. Experience with high-performance computing (HPC) environments. A strong publication record relative