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Field
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electronics, mechanical movements in strong magnetic fields or at cryogenic temperatures, as well as data-analysis in HEP is of advantage. Assignment of postdoctoral candidates to project tasks will depend
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics
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focus on the genetic and epigenetic molecular pathogenesis of pediatric T-cell leukemia (T-ALL). One particular emphasis will be on the multiomic wet- and dry-lab analysis of clonal and subclonal genomic
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postdoctoral candidates also experience) in stable isotope geochemistry and analysis. Expertise in data analyses and willingness to collaborate closely with colleagues in climate and vegetation modeling
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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, or dynamic transmission models) to assess their potential health and economic impact (incl scenario and uncertainty analysis Use experimental, clinical and programmatic datasets for model parameterisation
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excellent methodological and academic writing skills, experience with data management and confidence in data analysis (R, STATA, etc.). While experience in experimental work with human participants is a must
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team sincere interest in analysis of large scale data - we can provide guidance Your
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lower thermosphere by developing and exploiting expertise in atmospheric physics, instrumentation, analysis and modelling to serve emerging societal needs – such as questions regarding increasing
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq