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analyze how these behavioral differences affect collective phenomena in large crowds. The models will be integrated into the JuPedSim simulation environment and further developed there. To support model
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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offered provide access to challenging and interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI
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goal is to provide insights into the effects of environmental factors on health and to develop methods for large-scale, cost-effective health research using satellite technology. Through data competence
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of this position is to bring together microbiology and biogeochemistry to effectively integrate biological and biogeochemical data that stem from laboratory incubation experiments to large scale environmental
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the characterization of these components on 300mm silicon wafers, large amounts of data are generated by extensive electrical measurements. An efficient preparation of data is therefore crucial for short learning cycles
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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collaboration in research networks Your profile PhD in Bioinformatics, Computational Biology, Systems Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with
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methods Design and construction of genetic targets Cultivation in cultivation system BioLector XT and shake flasks HPLC and GC analytics Independent data analysis and presentation of results Documentation
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Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
of large administrative data, survey data, and statistical programming in Stata/R/etc.; experience collecting, coding, and analyzing event data; excellent oral and written communication skills in English; a