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compliance with these regulations, it is essential to understand and accurately model the chemical kinetics of fuel decomposition and especially PAH formation. While most of the available literature focuses
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, resiliency to high-impact events, day-to-day reliability, sustainability, and security against cyber and physical attacks. Key Responsibilities: Research and Analysis: Engage in extensive literature reviews
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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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University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur
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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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, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection
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Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing