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. Interactive, adaptive learning technologies that integrate multimodal input (text, speech, gesture, eye-tracking) to provide personalized, responsive feedback. Human-AI co-adaptation: designing systems where
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resides in is to build up technology for data-driven pattern recognition to infer data-driven generalized auditory profiles. The central challenge for this endeavor are the small sample sizes (of typically
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) Working field: • Video-based action recognition for various laboratory animal species (pig, dog, chicken, mouse) • AI-based analysis of well-being • Multi-modal (video, thermography, acoustic, RFID
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application including a cover letter, CV (without photo, age and information about your family status) and other relevant attachments. If you have a foreign degree, please submit proof of the recognition
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instrument, including the use of neutron polarization Good written and oral communication skills in English Initiative character, creativity, good interpersonal, communication and presentation skills, result
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degree, please submit proof of the recognition of your Master's degree and/or PhD Certificate in Germany with your application. The proof can be determined via the anabin database and can be submitted as a
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to research with the ability to work independently and in collaborative teams Preferred additional qualifications: Good written and oral communication skills in English Research background in energy materials
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preferred but not essential. Advanced skills in statistical analyses, using R Project management and report writing Strong track record of international scientific publications Excellent written and oral communication