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data analysis Strong foundation in mathematics Strong programming skills in Python (Python Data Stack, PyTorch, etc.). Good oral and written presentation skills in Norwegian/Scandinavian language
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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://sites.google.com/view/havvayoldas/home & https://sites.google.com/view/raphaelwinter/home for general information about the research topics. For information about the application procedure, please contact C
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workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
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/476f091506c47f6ec8551fd066942cc7978… Requirements Additional Information Website for additional job details https://recruiting.fz-juelich.de/jobposting/476f091506c47f6ec8551fd066942cc7978… Work Location(s) Number of offers
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage Monthly gross
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Arctic Biodiversity (f/x/d/m) Background Long-term monitoring of marine and Arctic ecosystems generates large volumes of biological and environmental data, but current analysis methods only partly capture
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work