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onwards: Scientific Researcher (m/f/d) E13 TV-L - Novel mathematical approaches for inverse modeling to determine greenhouse gas emissions. The position is initially limited to two years with
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Science, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Statistics, Mathematics, or related fields. Strong programming skills in Python
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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for benchmarking, HPDA/HPC support, and education (e.g. MOOCs, organizing workshops, facilitating community building). Requirements: Completed university degree in computer science or applied mathematics, remote