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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. or equivalent
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in Germany and abroad (incl. presenting your research results) Preparing scientific publications and project reports Your Profile: Genuine interest in data science and one or more of its application
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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computer science? Additional support for families and underrepresented groups is described on our Equal Opportunity Resources page . Your question wasn’t answered? For more information regarding the MPI-SWS
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal
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a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences
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experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface
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benchmarking datasets will be released through an open-source library. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency
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, computer science, or a related field Proficiency in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation
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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