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teaching at the Chair, in particular with a focus on the planning and design of railroad systems application and continued development of digital planning methods such as Building Information Modeling
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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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modelling. The PhD programme is thus an excellent starting platform for a successful career in a field related to global biogeochemical cycles and Earth System Science. To answer questions relating to global
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to transferring research results into practice. LogDynamics collaborates closely with enterprises, especially in the logistics and production industry. The IGS aims to identify, describe, and model the intrinsic
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doctoral project at the Faculty of Arts and Humanities. Doctoral students can choose between a regular track and an integrated track. The regular track is the standard model of the individual doctorate
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animal models to neuroimaging and computational approaches. Research in a translational setting In addition to traditional PhD positions, IMPRS-TP offers a unique integrated PhD/residence program in
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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organized manner and pay attention to details. ▪ You thrive on finding solutions to complex problems. ▪ You have strong communication and writing skills. What can you expect in return: ▪ A curiosity-driven
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networks involved in CHC perception, particularly in the context of prezygotic reproductive isolation within a species complex of parasitoid wasps (Nasonia). Our previous research has already deciphered
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messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture