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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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(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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internationally renowned scientists. The selection procedure will include a symposium to be held in September/October 2025. Our concept puts special emphasis on individual scientific excellence and the potential
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documentation Processing research projects Conception of digital systems and services Development of AI-supported solution approaches Publishing your research results at national and international conferences
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are: Requirements definition, survey and documentation Processing of research projects Conception of digital systems and services Developing suitable participation formats together with external partners Designing
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internationally renowned scientists. The selection procedure will include a symposium to be held in September/October 2025. Our concept puts special emphasis on individual scientific excellence and the potential
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, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
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extant taxa Perform collection visits to study and document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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measuring stand for the collection of hyperspectral data on a test field Collection of imaging data and creation of a database Establishment of a data processing routine for pre-processing the hyperspectral