M/F PhD student in generative artificial intelligence for biological imaging (M/F)

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Auguste Genovesio's team (image analysis and AI) at IBENS, ENS-PSL, co-supervised with N. Spassky's team (IBENS). Interdisciplinary environment (AI, applied mathematics, biology), access to GPU computing resources. Deep generative models for the joint analysis of tissue images and spatial molecular data. The PhD student will develop new deep generative learning methods to analyse biological tissue images coupled with spatial molecular measurements, and apply them to biological questions in collaboration with biology teams. Activities: Design, implement and evaluate generative models (flow matching, diffusion); process and analyse large imaging datasets; interact with partner biologists; publish and present results at conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8197-VALHER-267/Default.aspx . Requirements Research Field Mathematics Education Level PhD or equivalent. Languages FRENCH Level Basic . Research Field Mathematics Years of Research Experience None. Additional Information. Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR8197-VALHER-267/Default.aspx. <h2