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. The postdoc here has the central role for adapting and developing vegetation and biodiversity models for the project, building upon the framework of the LPJ-GUESS Dynamic Global Vegetation Model. The models
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Expertise in machine learning and Bayesian statistics is beneficial Experience in project management is advantageous What we offer: Work on a scientifically exciting, socially highly relevant, and globally
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types of Antarctic habitats as well as their cumulative impact on seasonal soundscapes
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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discovery investigating potential quantum advantage of such algorithms in real-world scenarios (in particular in collaboration with the project partners from bioinformatics) the estimation of quantum
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• US or EU patents in the field of machine learning / computer vision We Offer • Remuneration according to TV-L E14 (100%) • Fixed-term position for the project duration (48 months) • Central role in a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
gauge the acoustic footprint of ships in various types of Antarctic habitats as well as their cumulative impact on seasonal soundscapes and their cumulative impact on the local underwater noise budgets
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Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms
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Computer ScienceCountryGermanyCityGreifswaldPostal Code17489StreetWalther-Rathenau-Str. 47Geofield Contact City Greifswald Website http://www.uni-greifswald.de/?L=1 Street Domstraße 14 Postal Code 17489 E