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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: A PostDoc position is available in the group of Verena Pichler at the University of Vienna, Department
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About the role This is an exciting two-year opportunity to work at the forefront of a new area of research exploring the function of antipredator colouration in animal aggregations. This position is
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methods to study human bone marrow models using high content imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training
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imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training other members of the group. You will hold a PhD in cancer
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for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
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position from 01.10.2025 of a Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant
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45 Faculty of Philological and Cultural Studies Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2031 Reference
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experimental work, particularly conducting single-cell transcriptomics experiments, assisting in the generation and maintenance of new Drosophila melanogaster lines, performing confocal imaging and running
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30 Faculty of Catholic Theology Startdate: 01.11.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2031 Reference no.: 4021