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projects Prior experience in computer vision, image analysis, or machine learning Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch Prior
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processes”, Ruhr-Universität Bochum What we do Our structured, three-year doctoral program, conducted entirely in English, takes an intensive interdisciplinary approach and brings together scientists from
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, establish cellular memory, and regulate plasticity. We leverage this knowledge to identify new epigenetic pathways for drug discovery. We use cutting-edge methods (multi-omics, single cell, live cell imaging
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and your scientific skills, tasks will include: Invent, simulate, and prototype more efficient, specialized non-von Neumann computing hardware blocks for AI, optimization, probabilistic computing, and
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and drivers to design the formulation and process of plant-based fermented food. This analysis will be formalised as a knowledge graph which serve as data to create a prototype of a serious game which
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learning engineers. Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human disease. Using multi-modal genomic, image, and patient
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Glaser. In addition to a high-end NMR facility, our group has direct access on campus to a X-ray crystallography facility, as well as to a cryo-EM platform equipped with a Selectrix X imaging filter and a
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to which DoB-distributions with maximum entropy are calculated? How can information loss and bias be minimized in this transformation process? What is an appropriate information model for object instances
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transcultural dimensions of a medium still heavily understudied: lianhuanhua , literally “linked images” 连环画. It studies them as a medium from the People’s Republic of China and its place within the larger
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on campus to a X-ray crystallography facility, as well as to a cryo-EM platform equipped with a Selectrix X imaging filter and a modern Falcon 4i direct electron detector enabling cutting-edge single-particle