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technologies, education and participation. The research area of Computer Science in Sport specializes in topics of applied computer science in biomechanics, human movement science, performance analysis and
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media technologies, semantic analysis of multimedia content, techniques for the detection of misinformation including AI methods and their application, user interface, and feedback systems, various
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microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical
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, Natural Hazards and Risk Analysis, Process Geomorphology or equivalent) or Applied Geology, Engineering Geology, Cartography and Geoinformation or Remote Sensing/ Earth Observation. Interest in Natural
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Excel; presentations: MS PowerPoint, Keynote; operating systems: Windows, iOs; qualitative analysis: MAXQDA; survey instrument: LimeSurvey; literature management: Zotero, Citavo or Endnote) Knowledge
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topics in small subgroups. Teamwork is a key factor to our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum
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portfolio. The successful candidate will work with interdisciplinary teams (clinical, analytical, and bioinformatic scientists), apply shotgun lipidomics and related analysis to various fields, and streamline
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microbial activity (e.g. stable isotope tracing), or in genome/-omics analysis is advantageous, but not required. Bioinformatics skills such as working knowledge of R and scripting languages, as well as a
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applications of the model in research fields that we already cover (e.g., analysis of ice core data; transport of heat, water, greenhouse gases, radionuclides or air pollutants in the atmosphere; inverse
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analysis of the Einstein equations, analytical and numerical approaches to strong-field dynamics, relativistic and mathematical cosmology, relativistic matter dynamics in curved spacetime, nonlinear waves