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science, natural language processing, spatial data processing and analysis etc. Preference will be given to applicants demonstrating both solid technical/computational skills and engagement with the Arts
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. Experience with large language models, natural language processing, and generative AI tools Self-disciplined work ethic and eagerness to tackle challenging research problems. Experience with heath care
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Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, repealing Directive 95/46/EC (General
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(including biometrics or trustworthy identity technologies), natural language processing, speech and audio processing, energy informatics (including efficiency and sustainability), health, medicine and
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and Master’s degree in the field of Natural Sciences (Biology) or in the field of Biomedicine and Health (Fundamental Medical Sciences). A cumulative grade point average (GPA) from previous levels
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knowledge relevant to at least one or more of the following areas including natural language processing (NLP), generative AI (GenAI), conversational AI/dialogue systems, human-computer interaction (HCI
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application; Demonstrate a solid research trajectory and domain knowledge relevant to at least one or more of the following areas including natural language processing (NLP), generative AI (GenAI
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protection, and zoology, • organizational activities for the benefit of the Department, Faculty, and University, - implementation of administrative tasks related to the teaching process, • acting as a
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information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700. Questions regarding the Cluster of Excellence can be directed
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as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de