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, prognosis and therapy response prediction of cancer patients. Liquid biopsies are now offering a great potential for minimally-invasive exploration of circulating tumor nucleic acids and cells. However, some
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to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
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different stages of the cell cycle (Vukašinović and Hsu et al., 2025, Cell). We are looking for a motivated PhD student to investigate how hormonal signals are integrated and coordinated to control the plant
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accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and integrate these data into the cis