Internship in Artificial Inteligence / Deep Learning / Neuroscience

This is a Digital Opportunities Traineeship (DOT). If you want to apply for this internship, please remember that you have to be a student or recently graduated based in one of the 33 Programme Countries participating in Erasmus+ or the Horizon 2020 Associated Countries .
Before applying for a Digital Opportunity Traineeship we encourage you to check with your university if you are eligible for Erasmus+ traineeship. You can read more about DOT's in our information page .

General information

Duration:

6 months

Commitment:

Full-time

Description:

Automated analysis of behaviour using DeepLearning. The student will use DeepLearning to analyse motor deficits in a preclinical rodent model of Parkinson's disease. The tasks carried out by the student will include mainly programming, training and testing a DL network with images/videos we provide. Some novel tests are currently being developed which might be included depending on progress being made. Additionally we will offer to teach several biological techniques such as histological analysis of brain sections (DAB/Fluorescent staining, microscopy, cell counting) and data analysis.

Compensation:

No financial compensation

Years of Experience required:

Requirements

Languages:

English: Independent User B2

Level of Studies:

Bachelor

Skills:

ML, Tensor FLow, Python

Internship in Artificial Inteligence / Deep Learning / Neuroscience

Engineering and/or Technology, Medical Sciences, Natural Sciences

General information