Job offer

The objective of this postdoctoral position is to develop solutions for integrating multiple biological modalities and to establish a link between the phenotype observed under the microscope and various molecular measurements of the cell. The methods will be validated using high-throughput screening data, including microscopic images as well as genetic and proteomic expression data. This approach will then be applied to elucidate previously unknown gene functions.

The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained in the integration of microscopic imaging with transcriptomics, through the development of variant models for modality fusion.

The postdoctoral position will be part-time within the computational bioimaging and bioinformatics team at IBENS, under the supervision of Auguste Genovesio. The postdoctoral researcher will have access to a workstation as well as computing servers equipped with GPUs.

PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data.