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of the primary production of phytoplankton. Experiences with the ¹⁴C method for determining primary production and with Fast Repetition Rate Fluorometry (FRRF) are desirable. At a workplace, directly on the Kiel
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development efforts for ERGOM. The primary objective of this position is to generate high-resolution seagrass distribution maps for the Baltic Sea, achieving a spatial resolution of approximately 1 nautical
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
of potential future deep-sea mining activities. Your Tasks The primary focus will be on benthic microbial communities in manganese nodule ecosystems of the CCZ, combining analyses of taxonomic and functional
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well as the quality of the research project University degree certificates (bachelor, master), each with degree certificate, graduation certificate, academic record (applicants of successive postgraduate-doctoral
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-reviewed journals. The postdoctoral fellow will have the opportunity to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity
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, adaptability, and usability within physics and materials science communities Publication and dissemination of research findings in scientific journals and conferences Your Profile: A master degree and a doctoral
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group, led by Prof. Dr. Kristel Michielsen. For more information about the research group have a look here: https://www.fz-juelich.de/en/ias/jsc/about-us/structure/research-groups/qip Your Profile: Master
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to identify transcription-factor master regulators and derive targets for gene editing / TILLING. You integrate multi-omics data to identify genotype-phenotype associations. You ensure FAIR data management
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meetings, conferences, and as scientific papers Contribute to educational events, such as courses and hackathons Your Profile: Excellent Master or preferably subsequent PhD degree in Computer Science
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus