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, identification of vascular plant species, and taking tree-core growth increment samples, lab work related to preparing and analyzing the growth increment samples, GIS-work to derive important environmental
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, identification of vascular plant species, and taking tree-core growth increment samples, lab work related to preparing and analyzing the growth increment samples, GIS-work to derive important environmental
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measurements and remote sensing, biogeochemistry, environmental microbiology, industrial ecology, aquatic processes, modelling and data analyses approach in environmental science (e.g., GIS, LCA), or equivalent
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processes, modelling and data analyses approach in environmental science (e.g., GIS, LCA), or equivalent If you are in the final phase of your doctorate and can document that the thesis has been submitted
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analysing both growth increment and soil samples, GIS-work to derive important environmental parameters, and statistical data analyses (like, e.g., bootstrapped correlation and response functions, regression
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. Research experience with geochemistry, GIS systems, marine geophysics and/or marine robotics is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
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condition of employment that the master's degree has been awarded. Basic competence in igneous petrology and sedimentology/stratigraphy is required. Research experience with geochemistry, GIS systems, marine
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free energy calculations using Free Energy Perturbation/Thermodynamic Integration (FEP/TI) to quantify binding affinity changes and receptor-Gi protein coupling alterations • investigate potential disulfide
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
around zoonotic risk. Map supply chains and infrastructural ecologies (in collaboration with project GIS support). Engage with veterinarians, traders, and health officials to trace multispecies and
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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods