9 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" ";" Postdoctoral positions at Forschungszentrum Jülich
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PhenoRob2 Core Project 6, which aims to fuse information from advanced sensing technologies with process-based and data-driven models across spatial and temporal scales. Your tasks: Further development
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models
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Project INF of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based
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-based characterization techniques, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at
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Experience with spatial platforms is a plus Experience with bioinformatics pipelines for omics data (e.g. Seurat, Scanpy) Strong analytical and organizational skills Ability to work independently and
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) and structural engineering performance in spent fuel Bridge the gap between theory and experiment by integrating microstructural and experimental data into computational models to validate predictive
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biological hypotheses, we invite you to join the Omics Data Analysis and Integration group led by Dr. Jędrzej Szymański. Our group specializes in machine learning, multi-omics data integration, and the
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shape how machine learning is developed for electron microscopy – someone who can identify the open questions in the domain and carry them through to new methods. You will work in a team of data
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, or a related field; a PhD is an advantage Hands-on experience in semiconductor device fabrication and cleanroom processing Experience in electrical characterization and data analysis of semiconductor