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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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. 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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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
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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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of the application documents of both funding organisations are not identical – more information is available on the websites of the China Scholarship Council (CSC) . In addition, further information and forms
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can find information on the use of cookies and the use of your data as well as objection options in our privacy policy. Functional External services
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, economics, business informatics, data science, or a related field, • with a strong passion for entrepreneurship and/or family enterprise research, • with a solid knowledge of empirical research methods
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution
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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