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cutting-edge structural, computational and systems biology approaches, including combining high throughput perturbations (genetics and chemical) to multi-modal readouts (cellular and omics), to gain
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organismal systems across diverse biological contexts. Using a blend of cutting-edge experimental and computational approaches, we strive to decode and model complex biological processes—from single-cell
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to problems were few data is available. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch, NumPy, Pandas and
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
of the Heidelberg University is recruiting a visionary Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disease (f/m/d; tenured) This is not just a job—it’s a mission. A
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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your visions into reality.
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university preferably in the subject areas of computer vision, computer graphics, computer science, media informatics or creative technologies Good programming skills in C++, C# for support in algorithm
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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direction includes applying experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to change at multiple levels (molecules, cells, tissues