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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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plant development. PLoS computational biology, 15(6):e1007121, 2019. doi: 10. 1371/journal.pcbi.1007121. URL https://journals.plos.org/ploscompbiol/article?id=10.1371/ journal.pcbi.1007121 . D. E. Moulton
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, intermediate products, and finished products based on, for example, historical trade data ( https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37 ) Analysis of historical developments in material
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-site) appointments FLEXIBILITY: Flexible working time models, including options close to full-time (https://go.fzj.de/near-full-time), allow you to tailor your working hours to suit your individual
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from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni
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remuneration for your thesis In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with diverse backgrounds
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societal actors, including scientists, local administration, coastal communities, and other decision-makers apply skills in data science, advanced AI interface development and machine learning?to apply
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
reports, and communicate results to peers and the public through presentations, writing, and digital media Engage in professional development and acquire new skills as needed Conduct work in both laboratory
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the collected data in accordance with FAIR standards for collaborative use within the Decode project and for machine learning applications Presentation of results in team meetings and preparation of a
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
of Munich. At our institute you will find a scientifically stimulating international environment. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular