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Field
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imaging techniques or in vivo experimental models is beneficial High motivation for scientific work and willingness to contribute to an interdisciplinary team Good English communication skills (spoken and
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the functional roles of plant roots in agroecosystems. You have experience in genetics and genomics approaches. You have excellent communication skills and will to collaborate with researchers from different
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 2 months ago
facilities. Communication of research results in the department, in journal articles and by oral presentations at confernces is expected. Qualification The ideal candidate should have a Master's degree
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Degree Dr phil Course location München Teaching language German English Languages Courses and work meetings are mainly held in German (80%). Some academic events such as conferences, lectures, etc
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of cultural conflicts and cultures of conflict that has been raised refers to the internal cultural conflicts and their forms of expression in art, language, literature, and history – both from a historical
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Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation Technology, Mechatronics, Robotics, Systems Engineering, Applied
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Degree Dr phil PhD Medical Research Dr med Dr rer nat Course location München In cooperation with DFG Teaching language German Languages The working language of the programme is German, so a German
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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and mortality registry, community-embedded settings for participatory research, and cutting-edge methodological expertise in causal inference and artificial intelligence methods for epidemiology and