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respond via the red button up to and including 1 October 2025. Please include the following documents in your application (as PDF files): A motivation letter (max. 2 pages A4) Your CV, including a list of
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the red button until 21 September 2025. Interviews will take place in the week of 29 September 2025. In case of equal qualifications, internal candidates will be given preference over external candidates
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interested in the position, we look forward to receiving your motivation letter and CV. You can respond via the red button up to and including 1 October 2025. Please include the following documents in your
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apply via the red button until 21 September 2025. Interviews will take place in the week of 29 September 2025. In case of equal qualifications, internal candidates will be given preference over external
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Science, or related disciplines. Track record of first author publications in high impact journals or conferences. Experience developing deep learning models for real-time image/video segmentation, object
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Computer Science, Biomedical Engineering, Data Science, or related disciplines. Track record of first author publications in high impact journals or conferences. Experience developing deep learning models for real
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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for this position: (nearly) completed PhD and an excellent (early career) track record in publishing research findings in recognized scientific journals in the field of cognitive psychology, cognitive science
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management Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before September 13, 2025, and include: CV with academic track records
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Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before September 13, 2025, and include: CV with academic track records Motivation