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statistical analysis of results Experience with collecting field data in a spatial context Insight into analyzing data-intensive measurements and sensitive analysis Who we are At the Department of Agroecology
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-disciplinary analysis, modeling, and development of continuous improvement loops that advice researchers of possible solution pathways. At AU, a digital twin platform software called the Digital Twin as a
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, or as soon as possible hereafter. Job description This position will involve experimental planning, design, execution and analysis to elucidate the composition, structure and spatial organization
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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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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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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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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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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
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analysis, surveys, or other data-driven approaches strong interdisciplinary orientation and capacity to collaborate across the digital humanities, computational linguistics, media studies, or cognitive