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the plant cell cycle machinery. This project will combine live-cell imaging, phosphoproteomics, and metabolite profiling to unravel the complexity of phytohormonal regulation at the cellular level. Your
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investigate how hormonal signals are integrated and coordinated to control the plant cell cycle machinery. This project will combine live-cell imaging, phosphoproteomics, and metabolite profiling to unravel
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are looking for a motivated PhD student to investigate brassinosteroid transport mechanisms by combining live-cell imaging, phosphoproteomics, and CRISPR-based screens. Profile Essential Master's degree in
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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in vitro and in living cells The applicant will benefit from access to centralized facilities (in particular Nanobody technology, proteomics, cutting-edge microscopy and structural biology). Please