Software Intern

We are looking for a Software Intern for a period of 6 months who would contribute to the research and development of machine learning (ML) algorithms to analyze multi-plex immunofluorescence (mIF) images with a focus on image compression impact for image analysis.

The internship will take place partly remotely and partly on site.

Your Missions

Reporting to Application Development Scientist, you will contribute to:

• Preparing and cleaning existing image datasets.
• Researching state-of-the-art approaches for cell detection in mIF images.
• Selecting and training deep-learning models to analyze mIF images.
• Study the effects of different image compression methods on the image analysis results.

Requirements

• Ongoing Bachelor or Master in Bioinformatics, Bioengineering or similar field.
• Good understanding of digital image acquisition principles.
• Strong programming skills in Python.
• Experience with image processing libraries (OpenCV, Scikit-Image, SciPy, PIllow).
• Experience with the Keras, TensorFlow and/or PyThorch libraries.,
• Hands-on experience with a modern fluorescence microscopy is a plus.
• Research and analytical skills.
• Ability to work independently and as part of a team.
• Ability to present results to various audiences.
• Fluent in English.