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participate in the development and implementation of Machine Learning algorithms for pattern recognition and automated simulation scenario generation. They will also contribute to the technical evaluation
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participate in the development and implementation of Machine Learning algorithms for pattern recognition and automated simulation scenario generation. They will also contribute to the technical evaluation
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the implementation of WP5 Learning sites: Testing and synthesis and WP6 Enhancing societal understanding of ecosystem functioning and human health through ocean literacy and dissemination for the project GES4SEAS
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tasks. Strict expertise in all technologies is not required. However, a great attitude and willingness to learn is a must. Flexible Work location The selected candidate will offer services as needed
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, or algorithms for signal processing and machine learning in the broader domain of Astrophysics and/or Earth Observation. Candidates holding a PhD in Computer Science, Astrophysics, or a closely related field must
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. However, a great attitude and willingness to learn is a must. Flexible Work location The selected candidate will offer services as needed at University facilities in person and will also conduct field work