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to regenerative agriculture, including biological indicators that are often neglected in soil health monitoring programs. You will be part of a team of PhDs focusing on modeling soil processes at different scales
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Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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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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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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, 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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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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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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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