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mathematics or a closely related field is required. Experience with some of the following topics will strengthen your application: statistical physics; critical phenomena; interacting point and particle
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for an excellent scientist with a University degree in Meteorology or a related subject such as Physics, Mathematics or Geosciences. Prior experience in analyzing large-volume observational data and with programming
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with a master’s degree in mathematics. A strong background in the theory and numerics of partial differential equations and a very good background in optimization and/or stochastic analysis is required
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, Corg content, C:N ratio, pH, and EC mathematical modelling of cropping systems and N-emissions conducting environmental assessment with LCA-methods simulation studies and environmental systems analysis
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, Corg content, C:N ratio, pH, and EC mathematical modelling of cropping systems and N-emissions conducting environmental assessment with LCA-methods simulation studies and environmental systems analysis
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The Leibniz Institute of Ecological Urban and Regional Development e. V. (IOER) in Dresden offers the following position (employment according to WissZeitVG) until 30 April 2028 as soon as possible: Head (f, m, d) of the DRESDEN-concept Research Group SITES.AI „Advanced Environmental Risk and...
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through various channels. The ifo will actively support you in this. What we expect from your profile a degree with excellent grades, preferably in economics or mathematics, physics or a related field
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, computer science, applied mathematics, computational biology, bioinformatics, and many other subjects relevant to the project. Excellent communication skills in English, verbally as well as in scientific
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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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in a relevant subject area (e.g., Atmospheric Science, Climate Modelling, Mathematics, Physics, or related field), numerical modelling experience, and a good scientific publication record appropriate