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details of two referees to kaspar.valgepea@ut.ee by January 11, 2026 • Preferred start date: February 2026 • Work location: Institute of Bioengineering, Nooruse 1, Tartu For more information, contact group
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regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status
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that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially infinite-dimensional (e.g., space-dependent
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to join a collaborative, diverse, and creative research team. Experience in molecular biology, data analysis, and animal experiments is an advantage. The successful candidate will apply molecular and
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
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biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis (gene expression data, flow cytometry data, etc). While our research is primarily
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Implement new but established protocols without individual training Troubleshoot experiments and identify anomalies in own data Consistently monitors current literature and trends within field Accurately
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regulating molecular responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through
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Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation