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bringing together expertise and methods from different Climate Science, Ocean Biogeochemistry, Biological Oceanography, and Marine Ecology as well as the Ocean Modelling community, Social Science, Software
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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MRI protocols to accurately assess treatment outcomes in terms of treatment viability. This project aims to further advance this objective by integrating different medical imaging data types
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analysis, statistics, and different microscopy techniques. Synthesize data, prepare scientific manuscripts, and present research results at local and national scientific conferences. Assistance with lab
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multidisciplinary team from several project partners (incl. IPK Gatersleben and Justus-Liebig-Universität Gießen) to analyze how controlled abiotic stress regimes (drought and flooding under different seasonal
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allocation policies and task division policies can be designed to flexibly allocate teachers with different profiles to learning activities? c) what sharing mechanisms can be designed to enable cooperation
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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. Minimum Qualifications: The candidate must have a PhD in a relevant field, such as planetary science, physics, chemistry, geology, Earth sciences, or geophysics, and must not have exceeded two years
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professionals. We encourage a comparative approach that examines how generative AI is adopted across different professional domains, and how its effects on expertise, quality and efficiency are shaped by
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and graduate students Minimum Acceptable Education & Experience: PhD degree in Civil Engineering, Geography, or related fields Required Knowledge, Skills & Abilities: Proficient in geospatial data