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The research group Agroecological Breeding focuses on optimizing crop mixtures and advancing genetic and omics-based approaches to enhance sustainability in agriculture. Our research aims
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management of projects in the fields of bioenergy, combustion technology and CO2-neutral process heat with a focus on high-temperature applications Construction, optimization and testing of plants in the pilot
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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are diverse and adaptable - for applicants with disabilities, we work together to find solutions that optimally promote their abilities. The same applies if they do not meet all the profile requirements due
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topics in semiconductor technology and power electronics. The mission of the »Modeling and Artificial Intelligence« department is to optimize processes, components and systems, including their reliability
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and optimizing the execution User support in the field of large-scale AI Diving deep into technical aspects of efficiency, parallelization, and benchmarking Engaging in national and international ML/DL
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decisions and functional consequences in neurodevelopmental disorders and brain cancer. Your Role: Develop and optimize human organoid and assembloid models for studying neurodevelopmental disorders and brain
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spend either 6 or 3 months in Bochum. During this period, CAIS finances their leave from work through compensation or grants. Individual offices and meeting rooms with modern facilities provide optimal
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Implementation, further development and adaptation of AI models and research prototypes for the annotation and scoring of text data, in particular for the optimization of AI-supported teaching and learning in