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The department of Prof. Küster is looking for a research assistant (m/f/d) with 3/4 part-time employment (75%), limited to 4 years, in the field of “Data-driven Accounting and Auditing” as of October 1, 2025. The chair offers a wide range of tasks with the possibility of a doctorate in the field...
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! We
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, please contact Dr. Lasse Hölck (tempfuture@lai.fu-berlin.de / 030 838-55180). Applications should be sent by e-mail, together with above mentioned significant documents, indicating the reference code, in
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) and certificates), indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Juliane Noth: chinacademy@geschkult.fu-berlin.de or postal to Freie Universität Berlin
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Libman alexander.libman@fu-berlin.de or Prof. Dr. Tomila Lankina T.Lankina@lse.ac.uk . Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF
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(nadine.goeppert@fu-berlin.de / 030 838 61843). Applications should be sent by e-mail, together with above mentioned significant documents, indicating the reference code, in PDF format (preferably as one document
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Photonic Networks and Systems department is conducting research on the next
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ability to work in a team. Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Stephan Pfahl