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Neue Stiftingtalstraße 6 Postal Code 8010 E-Mail personal@medunigraz.at STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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Neue Stiftingtalstraße 6 Postal Code 8010 E-Mail personal@medunigraz.at STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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://www.medunigraz.at/stellen Street Neue Stiftingtalstraße 6 Postal Code 8010 E-Mail personal@medunigraz.at STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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to predict therapy response in breast cancer based on images (H&E stains) alone or in combination with spatial omics data. The candidate will closely collaborate with partners from the hospital of Salzburg and
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reconstitution, including membrane systems Preparation, documentation, and quality control of key reagents Work with S. cerevisiae and tardigrades—the most resilient animal on Earth Support for imaging workflows
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skills, including MS Office and other programs e.g. photoshop High-resolution confocal imaging experience Basic programming skills Excellent knowledge of Drosophila genetics Very good ability to explain
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cytometry and imaging-based methods. Basic experience in research methods and academic writing. Attention to detail and ability to work both independently and as part a team. Excellent verbal and written
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of Forest Economics (Reference code 210) Working time: 40 hours per week Term of the employment relationship: 1st of February 2026, limited to a period of 6 years Workplace: Vienna Allocation in compliance
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Website http://www.uni-klu.ac.at/tewi/inf/isys/ics/index.html Street Universitätsstraße 65 Postal Code 9020 E-Mail Johann.Eder@aau.at STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More