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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS
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with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects Self-motivated personality with a curiosity for working in a
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proficiency in data analysis and statistical software packages. You have problem solving skills. You own the ability to conduct independent scientific research and collaborate in an interdisciplinary research
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for future researchers. Thematically, CAUSE covers all levels of digital systems, from system-of-systems over software stacks to digital hardware. PhD students in CAUSE will cooperate closely to investigate
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(GIWAXS) and others) Contribution to the scattering data analysis and support of data/metadata formats developed in the group Integration of the developed software into the computational environments and
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, remote sening, GIS, and open source software is required strong interest in scientific writing and excellent command of English experience with Git and GitHub and Linux environment is desirable We offer
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-Angle X-ray Scattering (GIWAXS) and others) Contribution to the scattering data analysis and support of data/metadata formats developed in the group Integration of the developed software
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and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R) Highly
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programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will use other programmes, such as Python, Stata, or SAS
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questions from the fields of software engineering, system analysis and modelling, adaptability, application integration, and IT security. Service-Oriented Systems Engineering represents a symbiosis of best