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) in the Research Group “Numerical Mathematics and Scientific ComputingNumerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting as soon as possible. The work tasks include
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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university degree and a Ph.D. (or equivalent experience) in mathematics or a closely related field is required. Moreover, the candidate should be familiar with statistical/logical knowledge representation
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field A solid background
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of multi-species communities using theoretical modeling approaches. The candidate will focus on developing a mathematical model (e.g., preferably individual-based models) from basic equations to investigate
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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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Oceanography, Meteorology, Physics, Mathematics or a related field is required. We also expect very good English language skills, good programming skills and the ability to work in a team. Preferable would be a
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The Peace Research Institute Frankfurt (PRIF) analyses the causes of international and intrastate conflicts. As one of the leading peace research institutes in Europe, we combine interdisciplinary basic research with science transfer to the public, the media and policymakers. Since 2009, the...
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within a few months), for example in economics, social science or related field Excellent mathematical and analytical skills from fields such as mechanism design and optimal taxation Familiarity