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Your Job: Scientific and technical lead of a team focusing on machine learning and big data analytics in X-ray science Development and application of machine learning tools for X-ray data analysis
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-omics data, using innovative computational approaches supported by validation through molecular and immunological assays. Your tasks and responsibilities: Analyze large cohorts of genomic, epigenomic
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Your Job: You will primarily engage in research on or with large scale AI models (such as open foundation models) and datasets necessary for their creation using the supercomputers available
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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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Innovation department, we explore a core question: How can we use the latest methods, technologies, and data to drive successful product innovation? We specialize in developing innovation teams – from newly
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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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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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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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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