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- Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna IQOQIVIE
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qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 09.10.2026
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. Perform cutting-edge experiments in the field of spin-wave transport in magnonic nanostructures and networks. Develop spin-wave-based RF prototypes for data processing in 5G and 6G frequency ranges. Hold
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activities, research data management, and digital research infrastructures across the Cluster. Working closely with the Austrian Centre for Digital Humanities (ACDH), the successful candidate will contribute
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demonstrable knowledge of image-based modelling, CAD systems and geographic information systems (preferably QGIS). You have experience of working in a team and on interdisciplinary research projects. Proficiency
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system. You develop, maintain, and document the data reduction and photometry pipelines required for high-precision time-series photometry. You help coordinate the observatory’s participation in
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reconstructionmethods for industrial fast inline inspection applications. While many state-of-the-art optical inline 3D scanners, such as laser triangulation sensors, primarily deliver geometric depth information
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, utilization of software tools, and integrated data analysis. Receptor Biochemistry: Sound knowledge of the function and regulation of taste GPCRs and their involvement in metabolic networks. Publication Track
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, Neuroimaging pipelines (SPM-Toolbox, FSL, Freesurfer, fMRIPrep, CONN-Toolbox) and of structural MRI data is required. Your future tasks: Active participation in research, teaching & administration
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advanced computational models and methods for collecting, processing, analyzing and visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in agent
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, geoecology, soil science, or plant ecophysiology, who will complement the existing strengths of the geoecology group. The successful candidate will have: Proven skills in data analysis and programming (R