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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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, you will be at the forefront of research leadership, guiding the overall research strategy and overseeing the execution of multiple high-impact projects. This emerging leader role demands exceptional
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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integrated into the International PhD Programme (IPP; https://www.imb.de/phd ), which is organized by IMB ( www.imb.de ). The IPP offers an exciting, interdisciplinary and lively international community
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-RTG PhD student, you will be integrated into the International PhD Programme (IPP; https://www.imb.de/phd ), which is organized by IMB ( www.imb.de ). The IPP offers an exciting, interdisciplinary
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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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project description: Inkjet printing allows multiple materials to be 3D-printed simultaneously, useful for printing functional devices. Discovering the interactions of these materials and how to leverage
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient