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PhD Position in Artificial Intelligence and Cell Imaging

Heinrich Heine University Düsseldorf (HHU), Duesseldorf, North Rhine-Westphalia, Germany

Expires on March 06, 2021

We seek a talented and enthusiastic PhD student interested in developing and applying deep learning methods for biomedical single cell imaging data. The successful candidate will develop state-of-the-art computational methods on time-resolved high-content screening microscopy data (video data) supplemented with auxiliary single cell information to understand how populations of cells develop over time. This process is not only an essential aspect of normal cell physiology but also a crucial phenomenon in pathophysiology, such as cancer. The successful candidate should have a strong background in Machine Learning, and capable to implement state-of-the-art deep neural networks, such as ResNet and Transformer architectures. Strong Python programming skills are required and experience with TensorFlow/Pytorch environments is a benefit. You will have access to latest deep learning hardware, such as Nvidia DGX  A100 servers. Optimal starting date would be April 1st 2021. 

If you are a clear thinker, highly motivated, and fascinated by life science problems, please apply by sending us your CV and a short motivation letter.

For questions please contact

There is currently no vacancy advertised.


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