21 parallel-and-distributed-computing-phd-"Multiple" uni jobs at Free University of Berlin
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Responsibilities: The successful applicant will cover research and teaching in the field of data-driven material research with a reduced teaching load of two weekly credit hours at Freie Universität Berlin. The professorship includes the opportunity of establishing and leading a newly founded...
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. Particularly, we would like to address mixed-phase processes in deep convective clouds to understand how these clouds interact with aerosol: How do deep convective clouds affect the aerosol size distribution and
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A PhD position is available in the Freund group at FU Berlin (https://www.bcp.fu-berlin.de/en/chemie/biochemie/research-groups/freund-group/index.html). The position is limited until June 30, 2028
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computational models with the "exact" but lower resolution information available from experiments. Job description: Application of specially developed approaches to define for transferable force-fields with
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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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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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The sociology department at the John F. Kennedy Institute teaches and studies the political economy of the United States in comparative and historical perspective combining data-driven computational
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The Department of Earth Sciences has been offering a new international Master's degree programme "Planetary Sciences and Space Exploration" since the winter semester 2022/23. A tutor position
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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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