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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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, weighing and chemical extraction Data entry and evaluation Literature research Your qualifications Enrolment in a Bachelor’s or Master’s degree programme in environmental or natural sciences or equivalent
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modelling to evaluate additive and interaction components of mixture performance. Your qualifications and skills: Ideally, you are enrolled in a Master’s program in plant sciences, crop science, plant
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research program. What will be your tasks? This position will be part of the international SkaMix Consortium with partners from Norway, Sweden, Denmark, The Netherlands and Germany with the aim to identify
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Bachelor (advanced) or Master program with a focus on political science, economics, data science, statistics, or a related discipline; Excellent knowledge of the English language (the working language of
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. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental parameter measures and DNA data. Your Tasks Participation in fieldwork in Germany
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(Sondertatbestand), ZMT is strengthening its capacities in the field of modelling and adding predictive aspects to its existing research programmes. The institute’s five Programme Areas (PAs) are interdisciplinary
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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opportunity to address a broad variety of fundamental and applied ecological questions in fields like metacommunity theory, time series analyses, multiple stressors responses, invasive species, ecological