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to develop long term, quantitative strategic plans that emphasize sustainable agribusiness enhancement. This PhD position is carried out in collaboration with the Doctoral Program in Agricultural and Forestry
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for molecular biology and genomics. Your work will also include maintenance and care of plankton and invertebrates in a laboratory setting in support of experimental research. You will support multiple projects
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to resources and support for designing own doctoral research project within the AgriPoliS group Opportunity to join the IAMO Graduate School and to participate in the German Doctoral Certificate Program in
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Completed scientific university degree in engineering or natural sciences, computer science, or a degree program that includes aspects of these disciplines, or at least 5 years of professional experience in
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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databases (e.g. Scopus, Web of Science); Identify, screen, and select relevant academic and policy literature; Extract, code, and standardize data from selected studies; Manage and organize data from multiple
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, Marine Geoscience, Physical Oceanography and Marine Observation) cooperate within the framework of a joint research program. Project and job description Within KOFI, the long-term carbon storage of marine
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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on the research group/work area: As a biology/chemistry laboratory assistant (m/f/d) you will support the Program Center for Plant Metabolomics and Computational Biochemistry MetaCom established in 2023. We deal
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta