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Field
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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in R, Mplus, AMOS or other latent variable modeling software program Programming: R Population health or health systems Doctoral degree: A doctoral in social sciences (e.g. sociology, psychology
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
mimicked a vaccine boost, by inducing a massive amplification of memory B cells and Spike-specific antibody secretion. (R. Jeger-Madiot et al., J Exp Med 2024). Features of lymphoid tissue, including
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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related field. Demonstrated expertise in analyzing high-throughput sequencing data and developing bioinformatics tools. Proficiency in programming languages such as Python or R, and experience with relevant
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-mail: marja.mikkola@helsinki.fi HiLIFE/Institute of Biotechnology, University of Helsinki, Finland Selected publications Lan Q, Trela E, Lindström R, Satta JP, Kaczyńska B, Christensen MM, Holzenberger M
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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, R/Python) is welcome We offer: A dynamic, interdisciplinary service platform environment embedded in Germany’s leading Life-Science campus Access to cutting-edge instrumentation (timsTOF fleX MALDI-2
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Pharmacoepidemiology, Health Services Research, Public Health, Biostatistics, or a related discipline Demonstrated commitment to addressing health disparities Strong quantitative skills (e.g., SAS, R, STATA) Excellent
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, J. P., Lambais, G. R., & Le Maire, G. (2017). Importance of deep water uptake in tropical eucalypt forest. Functional Ecology, 31(2), 509-519. Cividini D., D. Lemarchand, F. Chabaux, R. Boutin, M.-C