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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 10 days ago
of the large spectrophotometric data sets including uncertainty quantification. Combine the differently spatially and temporally sampled data sets to obtain a 4 dimensional view of organic matter products in
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keen interest in organizing large data collections and open data science are an important asset. You possess excellent collaborative and communication skills both scientifically and towards patient
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 21 hours ago
Marine Biology or related field Background in whale research Experience in behavioural analysis of large whales Practice in photo-identification techniques Experience with aerial video data analysis
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16 Sep 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Programming Engineering » Aerospace engineering Engineering » Civil engineering
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essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily
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The project is part of a large-scale research project funded through the Horizon Europe funding scheme of the European Commission, entitled “Hazard assessment and risk management of natural hazard
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challenge. This project will explore how reconfigurable computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and others. The research will focus
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18 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer
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researchers on projects related to big data, health economic analyses, large-scale population-based longitudinal studies, and electronic medical records-based cohort studies, particularly in the areas
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science