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Physical Geography, Natural Hazards and Risk Analysis, Process Geomorphology or equivalent) or Applied Geology, Engineering Geology, Cartography and Geoinformation or Remote Sensing/ Earth Observation
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-technical transformation and adaptation Ability to work independently, including conducting fieldwork, data analysis and writing, plus develop original lines of inquiry Willingness to conduct collaborative
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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. word processing: MS Word, Pages; spreadsheet: MS Excel; presentations: MS PowerPoint, Keynote; operating systems: Windows, iOs; qualitative analysis: MAXQDA; survey instrument: LimeSurvey; literature
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science. At the department, a 7-member administrative team organises the academic staff, consisting of 70 members, who are dedicated to the description, critical analysis and scientific explanation
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enumerators during data collection and analyse the survey data. The quantitative postdoctoral researcher will also be involved in the analysis of the survey data of the SYREALITY project. Taking on a
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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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for the model, or novel 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
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implementation into the MSC’s service portfolio. The successful candidate will work with interdisciplinary teams (clinical, analytical, and bioinformatic scientists), apply shotgun lipidomics and related analysis
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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