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., KonsortSWD, NFDI), including working groups and collaborative initiatives. Your profile Completed PhD (or near completion) in a relevant field such as economics, statistics, data science, informatics, or
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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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data analysis using R or Python good skills in scientific writing practical experience with modelling on compute clusters is an asset We expect: the ability to work independently and on your own
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, enrolled in a Bachelor’s or Master’s program in economics, finance, data science, or a related field. Comfortable using Stata or Python/R (or other analytical tools). Detail-oriented, methodical and able
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knowledge in the application and development of NGS wet lab or computational methods for the analysis of genome data for molecular biodiversity research, have strong experience in data management and analysis
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to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science converge
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extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
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Doctoral Certificate Program in Agricultural Economics (www.agraroekonomik.de ) Institutional support to organisation and collection of relevant research data in Kyrgyzstan, Tajikistan and Uzbekistan
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within a joint research programme. What will be your tasks? We monitor the ecological status of the Baltic Sea as part of national and international programs. A central component of this work is nutrient
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across five departments—Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations—in an interdisciplinary framework as part of a joint research program