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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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will be affiliated with the national DDLS program, through which you will have access to computing resources, the national DDLS research school, and other training and networking opportunities throughout
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identification methods Documented experience with deep learning for biological sequence or image data (transformer architectures, vision transformers, graph convolutional networks) Documented experience with multi
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. The research environment is highly collaborative and interdisciplinary, with close links to national and international networks and consortia. The Data-Driven Life Science Research School Data-driven life
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. Experience in deep learning, computer vision, or neural network development. Experience with live-cell microscopy, fluorescence microscopy, or analysis of 3D/4D image data. Experience in cell biological
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training and national networking activities. Eligibility requirements Applicants meet the basic eligibility requirements for doctoral studies if they have: Completed a second cycle (master’s level) degree
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks