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“Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. The position is placed at the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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Your Job: The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact
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international conferences Prepare scientific publications and project reports Your Profile: Genuine interest in data science and one or more of its application domains: life and medical sciences, earth sciences
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into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth
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“Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. The position is placed at the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum
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Python and C++, with solid experience in scientific computing and software development; familiarity with Linux environments Excellent collaboration and communication skills and enjoyment of working in
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, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a
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reports Your Profile: Genuine interest in data science and one or more of its application domains: life and medical sciences, earth sciences, energy systems, or material sciences University degree (M.Sc
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both synthetic and real-world datasets. Synthetic benchmarks will be generated using established generative models capable of producing ground-truth synchronous patterns under varying conditions to