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, Cheminformatics, 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
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arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a
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/phytophotonics Please submit your application and supporting documents by June 29, 2025 electronically to Email: dag.heinemann@hot.uni-hannover.de or alternatively by post to: Gottfried Wilhelm Leibniz
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by post to: Gottfried Wilhelm Leibniz Universität Hannover Hannoversches Zentrum für Optische Technologien Abteilung Phytophotonik Dag Heinemann Nienburger Str. 17, 30167 Hannover Information
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transcripts with marks, a letter of recommendation and your publications (if applicable) by July 2, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD
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priority for employment. Please submit your application with the usual documents by June 20, 2025 (stamped arrival date of the University Central Mail Service or the time stamp on the TUD email server
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that promotes individual creativity and effective teamwork with a clear focus on quality output. More information about the group is available at www.ep.mgt.tum.de/pur Application Please send a cover
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by post to: Gottfried Wilhelm Leibniz Universität Hannover Hannoversches Zentrum für Optische Technologien Abteilung Phytophotonik Dag Heinemann Nienburger Str. 17, 30167 Hannover Information
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by mail or email will not be considered. For more information on the program and how to apply, please visit www.imprs-tp.mpg.de
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IX (SGB IX) will receive priority for employment. Please submit your detailed application with the usual documents by May 30, 2025 (stamped arrival date of the university central mail service