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acquire in the course of the PhD skills in live microscopy, experimental neurobiology, genetics and behavioural work. The student will receive mentoring and have the chance to guide the research and
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of your own learning process . An excellent technical infrastructure, and on-campus children's day care. Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally
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. Michael W. Friedrich (phone: +49 421 218-63060 / e-mail: [email protected] How to apply: Please send your application with your complete documents (cover letter, your CV, copies of transcripts
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selection procedure and for questions about the content of the advertised position, please contact: Dr. Karen Krüger (phone: +49 421 218-63067 / e-mail: [email protected] ) How to apply: Please send
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) Limited until: 30.09.2029 Reference no.: 6194 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our
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computational) is a plus. Experience with electronic laboratory notebook systems is a plus. Personal skills A positive and systematic mindset. Strong problem-solving skills and willingness to learn new skills
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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, English or another (if unanimously decided). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number
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learning environment offers a wide range of training courses, e-learnings, and educational programs—from professional specialization to personal development. This allows you to keep growing and make the most
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of service. The project is conducted in collaboration with two clusters at the Department of Mathematics and Computer Science of TU/e: Data and Artificial intelligence . Novel learning algorithms will