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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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relation to the use of syntactic structures in coordination with various bodily resources, such as gaze, facial expression, object use, movement in space, etc. Your tasks will involve collecting and
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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), restriction of processing (Art. 18 GDPR) and objection to processing (Art. 21 GDPR). If you have any questions about data protection, you can contact the GWZO data protection officer. You also have the right
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development efforts for ERGOM. The primary objective of this position is to generate high-resolution seagrass distribution maps for the Baltic Sea, achieving a spatial resolution of approximately 1 nautical
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of access (Art. 15 DS-GVO), right to rectification of inaccurate personal data (Art. 16 DS-GVO); right to erasure (Art. 17 DS-GVO), right to restriction of processing (Art. 18 DS-GVO) and right to object