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trial emulation in e.g. post-authorization safety studies and conduct the analyses Publish and present research results Requirements: Master’s degree (or equivalent) in (Bio-)statistics or Mathematics
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) for the Mathematical Research Data Initiative (MaRDI) starting October 1, 2025. Your profile: You have managed a project or projects with multiple partners within the academic system You take initiative in proposing
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IOW’s shallow-water research focus. What do we expect from you? A very good university degree in meteorology, oceanography, physics, mathematics, or a related natural science discipline with a strong
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area from the simulated measurements using mathematical methods and compare the various combinations and placements of the virtual instruments. You will summarise the results in a report/publication
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theoretical ecology, geosciences, applied mathematics, environmental physics, or a related field. Research experience in numerical modelling, preferably with knowledge of either eco-evolutionary models and/or
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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if all other qualifications are essentially equal. Applications with the above mentioned documents are to be sent by 21.11.2025 to the University of Rostock, Dean of the Faculty of Mathematics and Natural
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The climate needs bright minds. The Potsdam Institute for Climate Impact Research (PIK) addresses crucial scientific questions in the fields of global change, climate impacts and sustainable development. It is one of the world's leading research institutions in its field and offers natural and...
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials and technologies. The institute employs an average of 500 people from over 40 nations and, in...
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Computer Science, Data Science, Physics, Mathematics, Computational Biology, or related fields. Solid experience with Machine Learning / Deep Learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong