We offer seminars and seminars + lab internships. Selected students are able to join a lab research group and become part of its several activities, from learning to plan and carry out experiments, interpreting results to presenting scientific concepts and projects.

 

Timeline

• 22/02/2021 – 31/03/2021: Open Call
• 02 – 11/04/2021: Evaluations and interviews
• 24/04/2021: Communication of final results
• 26 – 30/07/2021: Seminars
• 02 – 27/08/2021 – Internships
• 27/08/2021 – Final presentation

 

Constraints 

Please note that lab internships on location will only happen if the pandemic restrictions allow labs to accommodate summer students at IGC.

Students accepted for lab internships must present a negative COVID test conducted up to 72h prior to joining the lab.

 

Who can apply

We welcome undergraduate students from any scientific background (e.g., biology, biochemistry, mathematics, medical science, engineering and physics) who are motivated and interested in life sciences. Preference is given to second and third-year students (at the time of enrollment).

 

How to apply

You can apply for seminars only or both seminars+lab internship. There are limited spaces for both options.

Applications accepted exclusively in English via the online platform.

Applications

 

Applicants must submit the following elements:

• Curriculum vitae and motivation letter are integrated in the platform
• Please state clearly whether you are applying for seminars only or seminars + lab internship
• When applying for a lab internship please state a choice of two labs in order of your preference

 

Fellowships

All candidates may apply for a fellowship to cover travel and accommodation expenses (except for candidates residing in the Lisbon area).

*Note: Participation in the Programme does not imply any contractual relationship with IGC.

 

IGC Summer School 2021 hosting labs

 

• Cell cycle regulation (Mónica Bettencourt-Dias): Studying centriole size regulation
• Evolutionary Biology (Isabel Gordo): Ecology and Evolution in the Gut Microbiome
• Optical Cell Biology (Ricardo Henriques): Testing deep neural-networks for phenotypic screening
• Advanced Imaging Facility (Gabriel Martins): Large-scale mesoscopic imaging and machine learning for anatomical dataset segmentation
• Chromosome Dynamics (Raquel Oliveira): Dynamic behaviour of chromosome-associated proteins during mitosis.
• Evolution and Development (Élio Sucena): Mechanisms of innate immunity in Drosophila

 

 

 

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