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fluently in English. You have good computer skills and data management skills. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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plan and execute your tasks independently and efficiently. Participation in conferences, workshops, etc. and/or demonstrable experience with writing and publishing is recommended. Recently graduated
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departments, offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the CMET research group we
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the (faculty/department/research group
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Research, Computer Science, Business Engineering, Informatics, Mathematics, Physics, or equivalent. The degree requirements need to be fulfilled at the start of your appointment. For degrees awarded outside
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the Forest & Nature Lab at the Faculty
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Job description This PhD student position is focused on the impact of alphaherpesvirus infection on gap junction (GJ) permeability. Gap junctions are crucial communication channels. As one of their many functions, they allow virus-infected cells to warn neighboring cells about the imminent viral...
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Job description We are looking for two highly creative and motivated PhD students to perform research in the context of the Advanced ERC Grant ACME ("Assumption-lean (Causal) Modeling and Estimation"). As the field of causal inference shifts toward population-level intervention effects, there is...