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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
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, single-cell spectroscopy, multicolour fluorescence and numerical modelling. This multidisciplinary approach will significantly advance our understanding about the resilience of coralline algae to projected
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, enrollment, data acquisition, data analysis, and manuscript preparation. Supports the development of Grand Challenge grant proposals and other funding opportunities. Performs statistical analyses and
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planning exposure paradigms (acute or chronic scenarios). The applicant will also handle data analysis, interpretation, and visualization, write manuscripts and coordinate with internal and external partners
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group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential
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RNA-seq data for testing and validation. Perform data analysis on large-scale RNA-seq data in pediatric cancer. This may involve the analysis of both scRNA-seq, bulk RNA-seq as well as new single-cell
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and protein analysis, and accelerating our efforts to translate molecular insights into therapeutic strategies. Several positions are available. General Responsibilities This scientist will play a
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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers
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, electron and optical lithography, reactive ion etching, as well as surface treatment (ALD, CVD, …). Classical analysis via SEM, AFM, XPS, Raman will be required. Finally, quantum analysis is required in
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who wish to pursue research specifically in the following areas: (1) Mouse embryo morphogenesis; (2) Mouse genetics and gene regulation; (3) Single cell RNA-sequencing with bioinformatic analysis; (4