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of information and cause–effect relationships in multi-stakeholder settings. Secondly, you will design and test novel interaction and visualization techniques for exploring, adapting, and inspecting simulated
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prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
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chemically characterising their photodegraded, visually monochromatic surfaces. Research on an 18th-century South Netherlandish table from the KMKG-MRAH collections demonstrated that its original polychromy
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-induced wear on turbine blades and support structures. Additionally, a digital tool will be developed to allow operators to visualize real-time risk indicators, maintenance sched-ules, and preventive repair
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strong problem-solving abilities. You should also communicate clearly and collaborate effectively with others. Great emphasis will be placed on personal qualities and suitability. Your workplace We have
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; affinity with decolonial and engaged anthropology and commitment to exploring multi-modal, visual, and co-creative methodological approaches. This is what we offer you The position concerns temporary
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. Our visual brain effortlessly distils a meaningful message from this, while even the most advanced AI techniques still struggle. Moreover, modern AI requires a lot of training data and energy to analyse
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
on career development; career advice is also integrated in the TAC meetings Support for international students and doctoral candidates Buddy programme Visa matters Pick-up service Welcome event Help with
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developed to allow operators to visualize real-time risk indicators, maintenance sched-ules, and preventive repair alerts, facilitating optimized maintenance decisions and reducing unplanned downtimes
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised