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identify plants. - **Improving model training:** Detect mislabeled images, prioritize unlabeled images for labeling, and focus on rare species to boost model accuracy and service quality. #### **Dataset
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/he will examine them using solid state NMR, possibly complemented by other biophysical approaches and solution NMR. S/he will develop specific selective labeling strategies, as introduction of novel
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encoding fluorescently labeled cyclin B3 and specific inhibitors of degradation and/or translation. The student will also analyze the function of cyclin B3 in meiosis and mitosis by manipulating protein
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analyses, including isotopically labeled protein for NMR spectroscopy - Ligand screening using saturation transfer difference NMR and 1H relaxation dispersion - NMR exchange techniques to study protein
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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interview. Additional comments Location : CRISMAT, Caen, France. https://crismat.cnrs.fr/ ; Funding: 24 months, funded by the Normandy Region (“Objectif Labels d’excellence” project). Starting End 2025
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a part of the Cancérologies Biology International master and graduate programs and bachelor’s degree in life sciences at the Université de Bordeaux. To ensure successful implementation of the research
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and professional life. INSERM received the “European HR Excellence in Research” label in 2016 and is committed to developing its researcher recruitment and evaluation practices. Host Laboratory: Based
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of biomolecules (DNA, RNA, and proteins) Preparing cell and tissue samples for various experimental techniques, such as Western blotting, proteomics-based assays, and immunostaining Conducting labelling experiments
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uses a tumor-targeting biomolecule (e.g. antibody, peptide, small molecule) labelled with a radionuclide for either diagnostic or therapeutic purposes. Alpha-particle targeted radionuclide therapy (-TRT