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. This full-time position is based in our Research Hub in Berlin. We seek individuals who are passionate about policy-relevant, data-driven research in the field of industrial policy and are eager to contribute
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team and lead the development and application of machine learning methods to large-scale genomic data generated at IPK-Gatersleben, with a focus on the impact of genetic variation on gene regulation
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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, two additional published papers must be submitted. Submitting an application via email has implications for data protection. The applicant bears full responsibility for this. The interviews are expected
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you may have to request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further
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, Raman spectroscopy, Scanning electroscope microscopy). Analyze data, contribute to scientific publications, and present research findings at international conferences. Collaborate closely with our
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integrate multisource Earth Observation data for tillage impacts and Soil Organic Carbon monitoring. We are offering, in subject to final confirmation by the funding organization, a 80% position (32 hours per
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, starting on August 1st, 2025 or later If you need further information, please feel free to contact Prof. Dr. Thorsten Schnurbusch Tel.: +49 39482 5-341 directly. What you need to know: For us, your
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, we collect and process your personal data in accordance with Articles 5 and 6 of the EU GDPR only for the processing of your application and for purposes that result from possible future employment
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analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using geographic information systems (GIS