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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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, Policy impact analysis, and/or Production efficiency and markets. leading to an internationally competitive PhD degree and internationally peer-reviewed publications. The position will include significant
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Your Job: We are offering a PhD position dedicated to the advancement of cryo-EM image analysis methods at the interface of Structural Biology and Electron Imaging at the Forschungszentrum Jülich
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
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; additional French language skills would be an advantage Experience with animal tracking, bioacoustics, or behavioral data analysis (preferred) Published or accepted peer-review articles (preferred) Driver’s
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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analysis of social change; it is primarily in this domain that its researchers contribute to anthropological theory, though many programmes also have applied significance and political topicality
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, data collection, and data analysis as outlined in the research plan and collaborate with others. Collaborate with biostatisticians or data analysts, if required, to interpret and analyze complex data
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can only be submitted via our online system. For online application and further information go to: https://www.uni-muenster.de/CiM-IMPRS We offer 16 fully financed PhD positions. More positions financed
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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation