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advanced image processing and segmentation methods – computational and statistical analysis of large-scale neuronal activity datasets • Very good programming skills in Python (mandatory). • Teaching
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, heritage science, or a closely related scientific discipline. • Good understanding of relevant analytical methods and instrumentation (e.g., spectroscopy, microscopy, and/or imaging techniques
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 2 months ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job ID: OeAI023DOC226 The Austrian Academy of Sciences (OeAW
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Conditions of employment completed doctoral degree (PhD) in data science, computer science, statistics, mathematics, natural sciences or related disciplines in-depth knowledge of data mining, data science
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animals as well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with
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30 Jan 2026 Job Information Organisation/Company Universität Wien Research Field Biological sciences » Zoology Biological sciences » Other Biological sciences » Biology Researcher Profile