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with experience in causal inference using panel data (e.g., Difference-in-differences) solid knowledge of Stata, R and/or Python for conducting econometric analysis previous knowledge of conducting
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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another quantitative social science. Proven skills in empirical methods and proficiency in at least one programming or scripting language (e.g., R, Python, Stata). - Experience with the integration and
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processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https
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applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers a Post Doc Position (m/f/div) on the following topic: Project Coordination and Build
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to gain further qualifications. We offer our employees a broad spectrum of career opportunities in an attractive working professional environment (https://www.dwi.rwthaachen.de/seite/institutskultur). DWI
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to gain further qualifications. We offer our employees a broad spectrum of career opportunities in an attractive working professional environment (https://www.dwi.rwthaachen.de/seite/institutskultur). DWI
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to gain further qualifications. We offer our employees a broad spectrum of career opportunities in an attractive working professional environment (https://www.dwi.rwthaachen.de/seite/institutskultur). DWI