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Field
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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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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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What potential solutions could be in scope? The proposed human-derived model should enable the analysis of cellular crosstalk of lymphatic cells with epithelial, myeloid, and/or stromal cells, among
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of neutrinos Significant experience in hardware-related data-analysis and detector commissioning Excellent academic track-record as shown with relevant publications Excellent team-player abilities Good command
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PhD in Vascular Biology, Neuroscience, Molecular Biology, Computational Biology, or a related field Expertise in single-cell and spatial omics analysis (scRNA-seq, ATAC-seq, CUT&RUN, MERFISH, Visium
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, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate the molecular mechanisms that enable sperm to sense their chemical and physical environment, with a
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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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development for lidar control. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed metals and aerosols and anthropogenic effects. Your