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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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, or green technologies We expect Master’s degree in agricultural economics, environmental/resource economics, industrial engineering, business informatics, or a related field Demonstrated interest in agent
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, enrolled in a Bachelor’s or Master’s program in economics, finance, data science, or a related field. Comfortable using Stata or Python/R (or other analytical tools). Detail-oriented, methodical and able
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equivalent degree in agriculture, biology or any related field. You are an early career researcher not more than one year after your PhD and you have a proven track record and extensive experience with genetic
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developments, as well as conceptual guidance of cross-project software developments in the field of biodiversity informatics Strategic and content-related representation of the MfN in national and international
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international conferences Mentoring of researchers Your qualifications: University degree in sociology, economics, or a closely related field Doctorate / PhD in one of the above-mentioned fields is an advantage
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Your Profile Doctorate (PhD) in Ecology, Soil Ecology, or a closely related discipline Expertise in identifying soil invertebrates Experience with the analysis of food webs or trophic interactions
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people and nature. We are looking for an internationally recognized scientist (m/f/d) in the field of computer or natural sciences to develop modern technologies for collection-based research with a focus
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, especially the Baltic Sea. The staff of the five sections Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint
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The Leibniz Institute for Agricultural Engineering and Bioeconomy e. V. (ATB) is a pioneer and driver of bioeconomy research. We create scientific foundations for the transformation of agricultural