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, leading to more devastating extreme events and a greater need for tools for adaptation and planning. A growing wealth of observational data from satellites, sensor networks, foundation models, gridded
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to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
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sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment. OCP group (http
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. In addition, you can further expand your network with partners from science and industry through our lighthouse projects. In your role as a post-doc, you will combine team- and institute-oriented tasks
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be achieved, for example, by developing learning algorithms and bringing together different sensor systems in the vehicle and on the road. Where you put the focus - that is up to you. The concepts
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials
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, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together with the German
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Earth Observation (ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich