1,964 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions in Germany
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Degree PhD / Dr phil Course location Regensburg Teaching language German English Languages Courses and workshops are held in German (approx. 25%) and English (approx. 75%). Programme duration 7
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(BIGS Mathematics) Teaching language English Languages Courses are held in English only. The thesis can be written either in German or English. Full-time / part-time full-time Programme duration 6
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Brain Research German Center for Neurodegenerative Diseases Werner Reichardt Centre for Integrative Neuroscience Teaching language English Languages English Full-time / part-time full-time Programme
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Degree Dr rer pol or PhD Course location Berlin Teaching language English Languages All courses, workshops, and other events are held in English. All communication within the programme is in English
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citizenship Licenciatura-degree in study programmes with a minimum of eigth semesters or evidence of professional qualification within a study programme with a minimum of ten semesters. Academic excellence, you
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The start date is as early as possible / April 1st, 2026 (or by agreement
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an interdisciplinary consortium studying the “GEvol: Genomic Basis of Evolutionary Innovations (GEvol)” (Priority Programme, SPP 2349 funded by German Science Foundation (DFG)). We are recruiting a highly motivated
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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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molecular level. To yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and