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similar libraries Experience in software engineering and writing clean, maintainable code Interest in self-responsible scientific research and studying current ML methods Ability to work independently and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
Job Code: 21-25 Job Offer from July 31, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than
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, well-documented, and reproducible code and working with academic open-source software; experience in statistical data analysis. Ability to work both independently and collaboratively in a
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experience with High Performance Computing (HPC) systems is an advantage Your experience should be documented in research papers and Open Source code projects Our Offer: We work on the very latest issues
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databases (e.g. Scopus, Web of Science); Identify, screen, and select relevant academic and policy literature; Extract, code, and standardize data from selected studies; Manage and organize data from multiple
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hydrological community. Alternatively, it is well known that Neural ODEs [2] are capable of representing dynamic systems that are coded in ODEs. They can encapsulate the complex temporal dependencies and
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Postdoc Pathways) If you enjoy working in a very collaborative, supportive and international team, you love writing and improving code, you like analytical thinking and constructive problem-solving, and you
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optical communication networks and systems as well as the coding of video signals and data processing. The group „Data Analytics and Signal Processing “(DSP) in the department of Photonic Networks and
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 21 days ago
Job Code: 25/027 Job Offer from July 15, 2025 The Max Planck Institute for Plasma Physics (IPP) is one of the world"s leading centers for fusion research. With around 1100 dedicated employees in
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in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc. Willingness to clean large, messy datasets Excitement about clean, structured code Conscientiousness in implementing, testing