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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
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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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, research and career management, networking, computing and software as well as business training for life scientists. The GGL Annual Conference functions as a platform for presenting new results of doctoral