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Orchestration and documentation of Deep Learning experiments Processing and visualization of large amounts of data Review of relevant literature and data Testing software and frameworks What you bring
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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of climate services. RIVIERADE will target three European Seas (Baltic, Black, Mediterranean), to produce data and information for ocean health, sustainable blue economy, and coastal climate risks
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
which are used at large telescopes (VLT, LBT, ELT) and aboard satellites (for example XMM-Newton, Herschel, SRG/eROSITA, EUCLID, Einstein Probe, NewAthena). Within the framework of ESA’s future large
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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or transnationalization research. Job description: - carry out extensive online literature searches & summarize findings in English - quantitative analyses of data sets with STATA or R - provide general project assistance
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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10,000 employees of KIT cooperate in a broad range of disciplines in research
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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks You are expected to broaden the research profile of the research unit by pursuing independent
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial