Postdoctoral Researcher – image analysis/bioinformatics

vor 2 Wochen


Zurich, Schweiz University of Zurich Vollzeit

Your responsibilities As a Postdoctoral Researcher, you will be responsible for analyzing confocal and super-resolution microscopy data related to spatio-temporal genome and oncogene regulation. The role also involves comparing Hi-ChIP data with imaging data and developing computational tools to analyze and visualize chromatin conformation and oncogene regulation. Working closely with biologists, you will utilize cutting-edge computational approaches to model and decipher these mechanisms at the real-time scale. Your profile PhD or advanced experience in Bioinformatics, Computer Science, or a related discipline. Strong expertise in microscopy imaging analysis and bioinformatics, including experience in handling and analyzing high-dimensional data and various types of imaging data. Strong programming skills in R, MATLAB, or Python and experience with machine learning models. Solid understanding of the latest trends and methods in bioinformatics, super-resolution and confocal microscopy imaging. Excellent communication, interpersonal and problem-solving skills, with the ability to work collaboratively in a multidisciplinary team, demonstrating motivation and organizational skills. Excellent communication skills in both spoken and written English. Experience in scientific writing and publishing papers in peer-reviewed scientific journals. Knowledge in cancer biology and/or 3D genome organization is a plus. Hands-on experience with the analysis and interpretation of multiomics data is a plus. What we offer Join us in unraveling this novel aspect of cancer biology and making a meaningful impact in the field. This is an 80-100 % Postdoctoral Researcher position funded for an initial term of 2 years with a competitive salary/benefits and possibility of renewal.



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    Your responsibilities As a Postdoctoral Researcher, you will be responsible for analyzing confocal and super-resolution microscopy data related to spatio-temporal genome and oncogene regulation. The role also involves comparing Hi-ChIP data with imaging data and developing computational tools to analyze and visualize chromatin conformation and oncogene...


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