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- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
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models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug screens Engagement in an existing skilled technical
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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
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5 Sep 2025 Job Information Organisation/Company Graz Medical University Department HR Research Field Medical sciences » Health sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Austria Application Deadline 25 Sep 2025 - 23:59 (Europe/Berlin) Type of...
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Postdoc Research Group Pellicciotti: Cryospheric and Land-Surface Modelling of Extreme Droughts in the European Mountains
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Postdoc Research Group Pellicciotti: Cryospheric and Land-Surface Modelling of the Pamir Mountains
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these insights into therapeutic strategies. Our lab combines cutting-edge in vivo imaging, electrophysiology, and computational modeling with multiomics to bridge mechanistic understanding from the neuron
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these insights into therapeutic strategies. Our lab combines cutting-edge in vivo imaging, electrophysiology, and computational modeling with multiomics to bridge mechanistic understanding from the neuron
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are lived. Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career. We offer an annual gross salary
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 days ago
the use of complex cellular models for studies of inter-cellular crosstalk (e.g. organoids)• Profound knowledge and expertise in the use of animal models for studies of cellular crosstalk in health and
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. THE PROJECT: Cancer treatment is difficult because patients respond differently to therapies and because therapy responses are challenging to predict beforehand. The candidate will develop computational models