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Gioele La Manno

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CAJAL Neuromics Course 2026: Single-Cell and Spatial Omics in Neuroscience for PhD Students and Postdocs University of Bordeaux in France

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

The registration fee is €4,500, which includes tuition, accommodation, and meals. No additional funding or scholarships are mentioned; participants are responsible for covering the fee and any travel expenses.

Deadline

Feb 25, 2026

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France

University

University of Bordeaux

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Keywords

Computer Science
Data Science
Biology
Computational Biology
Neuropsychology
Medical Science
Nervous System
Neurodevelopment
Omics
Genomic
Spatial Transcriptomic
Neurobiology

About this position

The CAJAL Neuromics Course 2026 offers an intensive three-week training program in single-cell and spatial omics technologies applied to neuroscience. Co-directed by Gioele La Manno (École Polytechnique Fédérale de Lausanne), Hannah Hochgerner (Technion – Israel Institute of Technology), and Alexandre Favereaux (Université de Bordeaux), the course will be held at the Bordeaux School of Neuroscience, France, from June 22 to July 10, 2026.

This course is designed for PhD students and postdoctoral fellows from neuroscience, computational biology, and related fields. Participants will receive hands-on training in single-cell genomics, spatial transcriptomics, and multi-omics approaches, with a curriculum that integrates both experimental and computational components. The program includes lectures from leading scientists, laboratory sessions, computational workshops, and collaborative mini-projects, providing a comprehensive experience in modern neurobiological research.

Key topics covered include experimental design, data generation, computational analysis, and biological interpretation of high-throughput genomic datasets from neural tissues. Techniques such as single-cell and single-nucleus RNA sequencing, spatial transcriptomics, single-cell epigenomics, and multi-omics integration will be taught. Computational modules will address data preprocessing, cell type identification, trajectory analysis, spatial data analysis, and machine learning applications in genomics.

Participants will gain expertise in designing and executing omics experiments, applying computational methods, integrating multi-modal data, and interpreting results in the context of neural development, disease mechanisms, and therapeutic target identification. The course also emphasizes best practices in data management, reproducibility, and scientific communication.

The Bordeaux School of Neuroscience provides state-of-the-art facilities, including wet labs, imaging rooms, and IT infrastructure, supporting a collaborative and immersive learning environment. The registration fee is €4,500, covering tuition, accommodation, and meals. The application deadline is February 25, 2026. For more information and to apply, visit the official course website.

Funding details

The registration fee is €4,500, which includes tuition, accommodation, and meals. No additional funding or scholarships are mentioned; participants are responsible for covering the fee and any travel expenses.

What's required

Applicants must be PhD students or postdoctoral fellows with a background in neuroscience, computational biology, or related fields. Basic knowledge of molecular biology and familiarity with programming are required for computational components. The course welcomes both experimental and computational researchers seeking to integrate omics approaches into neurobiology research.

How to apply

Submit your application via the official course website before February 25, 2026. Prepare your CV and relevant background information. Use the provided application link to complete the process. Contact the organizers if you have questions.

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