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assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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the opportunity to obtain additional skills related to interdisciplinary language science research more generally. Equally qualified applicants with disabilities will be given preference in the hiring process. The
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if they are equally suit-able and qualified. Applications from people with a migration background are welcome. Please note our information on data protection in the application process at https://www.hmtm-hannover.de
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preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information
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teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference in the hiring process. The University of Tübingen