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present the topic, the research problem(s) and choice of theory and methods. The proposal should also include a progress plan for the different parts of the project. Admittance to the PhD programme will be
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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. Integrating numerical models tailored to Southern Norway and Greenland with existing datasets to investigate how their landscapes have formed. Presentation of results at international conferences. Publication
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research projects, including scientific publishing, is an advantage Experience with laboratory work and analytical methods will be considered positively The successful candidate must be able to work
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-depth knowledge of qualitative methods and documented experience with long-term, independent ethnographic field research. Language skills enabling ethnographic fieldwork in candidates’ proposed research
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environment with collaborators in government and universities in Asia, Africa, Europe, and North America. About the project/work tasks: To develop frameworks and methods for quantitative analysis of equity and
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environments nationally and internationally. The department has extensive teaching responsibilities, including a one-year program, a bachelor's and master's program, and a teacher-training program in sociology
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a cross-disciplinary (medicine, genetics, statistics, epidemiology, cell biology, informatics) and highly internationally oriented team. We have a strong focus on the personal development
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date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich This position is part of 19 PhD Fellowships
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society Through robust and