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related to staff position within a Research Infrastructure? No Offer Description POSTDOC IN DIGITAL PATHOLOGY Therapy-response prediction using spatial biology THE GROUP: The candidate will be part of
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Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Admission Requirements You have a PhD in Interaction Design or Human-Computer Interaction, or a related
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Responsibilities Conduct and disseminate research on human-computer interaction, with interest and focus on considering learning aspects in design; or in educational technology with interest and focus on interaction
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) in Technosciences, Materiality, and Digital Cultures 49 Faculty of Social Sciences Job vacancy starting: 01.02.2026 | Working hours: 40,00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc
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knowledge of the connections between social transformation processes and adult learning Scientific expertise on topics and theories of adult and continuing education, in particular with a critical and/or
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signal processing AI/ML for communication systems Self-supervised ML, meta learning PHY/MAC optimization of wireless communication systems Robust, reliable, or explainable ML Experience with large-scale
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“Representation theory, equivariant topology and Langlands duality via fixed point schemes”. There are no teaching duties, although participating in graduate teaching is possible. The group normally runs a weekly
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the the Erich Schmid Institute of Materials Science of the Austrian Academy of Sciences (ÖAW) | Austria | 15 days ago
and related methods (4D-STEM, cryo-preparation, in-situ testing, etc.), trouble-shooting problems that arise upon operation of the microscopes, develop new experimental setups based on scientific needs
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of our research group here . Your responsibilities Maintenance and further development of a computational pipeline for drug response profiling in pediatric AML Development of advanced computer vision
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug