We have an open Postdoc position in the research group of Prof. Ola Spjuth (group website: https://pharmb.io). The successful candidate will join an interdisciplinary team of researchers and participate in a project to build up an intelligent, automated laboratory for cell profiling, with applications in systems medicine. The focus of the project is to develop and apply methods for analyzing images from large-scale high-content imaging experiments such as drug screening. This includes image analysis such as cell segmentation, calculation of morphological features, unsupervised and supervised learning (AI/ML) including deep learning on image-based data.
Qualifications: The highly motivated candidate should have a PhD in data science, bioinformatics, or equivalent field. Documented experience in data science, python programming, image analysis and experience from working on linux-systems is a requirement. AI/ML-modeling with methods such as deep neural networks trained on image data is a requirement. Previous experience of image analysis of cells, Cell Profiler pipelines, Deep Learning on data from cell-based assays, and high-throughput and high-content microscopy imaging, is meriting. The candidate should have excellent communication skills and be keen on actively interacting with other team members including biologists, software engineers, and researchers in AI/ML. You are able to take instructions but also work independently to carry out analysis on your own. Excellent skills in oral and written English are required.
Tagged as: Computer Science, Life Sciences
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