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of more resilient forest and agroforest systems in both countries. Job description: We are seeking a dedicated PhD candidate, who is interested in working with literature studies and reviews, field studies
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regulatory constraints. This project will encompass: A thorough literature review and analysis to establish the state of the art. Data acquisition and analysis to identify adequate data sources and
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the outstanding scientific environment of the Beutenberg Campus in Jena providing state-of-the-art research facilities and a highly integrative network of life science groups and is imbedded in the Excellence
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records and scientific literature, using advanced NLP methods. - Collaborative work: Collaborate with a team of computer scientists and medical professionals to develop innovastive solutions for medicine
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13
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meaningful novel embeddings for social media messages, and will be conducted in close collaboration with our social media analysis group at DLR. Tasks Your duties will include: Literature research Designing
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include: Literature research Designing, implementing, and evaluating novel machine learning approaches to retrieve buildings in 3D, building settlement types, and distribution of construction sites at very
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group, a multinational insurance company. Tasks Your duties will include: Literature research Designing, implementing, and evaluating novel machine learning approaches to detect building attributes from