154 data-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" Postdoctoral positions in Denmark
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Postdoctoral Research Fellow - Human-Centered AI for Data Visualization at Computer Science, Aarh...
Science, Aarhus University. The position is limited to 3 years (36 months). The postdoctoral fellow will conduct research on human-centered AI for data visualization as part of the CA3 center. The
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The Department of Computer Science at Aarhus University (Denmark) invites applications for a 36-month Postdoctoral Research Fellow position focused on Human-Centered AI for Data Visualization. The
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The Department of Computer Science at Aarhus University (Denmark) invites applications for a 18-month Postdoctoral Research Fellow position focused on Human-Centered AI and Data Visualization. The
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PostDoc in aerobiological modelling Are you interested in atmospheric science and can you contribute to the development of a new generation of numerical models describing concentrations and
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changing world. Qualifications Ideally, you hold a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused
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develop novel approaches for understanding and predicting biodiversity futures in a rapidly changing world. Qualifications Ideally, you hold a PhD in biology, earth system or data science, or a similar
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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recognition events to colonization strategies. Within this framework, the advertised postdoctoral project is specifically focused on complex data analyses of plants for improved symbiotic associations
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drone-based data. By addressing research questions relevant to data science, biology, and agroecology the aim is to improve data flows and create knowledge graphs and future visions of landscapes. The
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, acoustic, images, and species data), as well as historical maps and satellite- and drone-based data. By addressing research questions relevant to data science, biology, and agroecology the aim is to improve