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for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
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(Methods for Active Informed Machine Learning). This project is a close collaboration with the Hasso Plattner Institute. We are developing and improving machine learning methods by integrating domain
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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
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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: Providing support with: - software maintenance and extension of a simulation package - the development of training material - processing of bug reports, user enquiries (mailing list), etc. - programming
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be sent by e-mail, together with significant documents (letter of motivation stating the interest in the project, CV, list of publications (if applicable), writing sample (article or thesis chapter
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conduct research within the Geometric Analysis group, help shape the development of the group, and contribute to teaching. The position is subject to Prof. Dr. Elena Mäder-Baumdicker taking up her position
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conduct research within the Geometric Analysis group, help shape the development of the group, and contribute to teaching. The position is subject to Prof. Dr. Elena Mäder-Baumdicker taking up her position
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a doctoral researcher (75%) to work on the development and application of coarse-graining methodologies to study
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The planetary geodynamics group led by Prof. Dr. Lena Noack uses computational models to characterize planetary processes that impact the long-term evolution of the planetary interior coupled