132 programming-"Multiple"-"Embry-Riddle-Aeronautical-University"-"Fraunhofer-Gesellschaft" PhD positions in Netherlands
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that span and integrate multiple scientific domains. We are looking for candidates with strong expertise in their respective fields and a passion for interdisciplinary collaboration. Each project will not
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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. You already have good background knowledge on atmospheric composition and greenhouse gas cycles and experience with isotope measurements. Next to this you find yourself in one or multiple
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of 16 academic & industrial partners will train 14 PhD fellows (3 of which are to be hired through this call). What GenAIDE offers you: A structured, four-year PhD training programme that mixes
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expected. A PhD training programme is part of the agreement, and the successful candidate will be enrolled in the Graduate School of Science and Engineering. Applications must include: Letter of motivation
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completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be enrolled in the Graduate School of Science
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to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be
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methodology through an integrated research programme across geoinformatics, AI, and geography. The project is based at the Department of Human Geography and Spatial Planning, Utrecht University, and contributes
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part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA methodology through an integrated research program across geoinformatics, AI, and geography