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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling
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the position and the application procedure, please see the following website: https://www.uni-bayreuth.de/job-vacancy-keyword-hydrosphear-postdoc-5fd6919309e9c515 Where to apply Website https://www.uni
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economics Experience in working with data sets and statistical software (ideally R; alternatively, Python). Experience in working with Natural Language Processing (NLP) and/or Large Language Models (LLM
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innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. Ready for a change? Then apply now and make a
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Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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integration of multi-source remote sensing data. Our work aims to extract high-precision spatiotemporal infor-mation on Earth system processes across spatial and temporal scales. Current research themes include
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Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art
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position (m/f/d) in multiscale, multiphysics, mathematical modelling of plant morphogenesis as soon as possible. Description of the project Plant growth is a complex hydromechanical process in which cells
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
model on observations and physical models to represent cloud processes across scales from individual turbulent eddies to cloud systems spanning hundreds of kilometers. We will use this fully data-driven