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collaboration across public and private sectors. we develop technological solutions for data collection, sharing, analysis, and knowledge management, supporting informed decision-making in areas like crisis
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at rescuing circuit dysfunction and evaluating outcomes using state-of-the-art behavioral characterization. We are seeking an expert in neural circuit analysis with experience in: In vivo two-photon imaging
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, execution, documentation, and analysis of research projects in digital and morphomolecular pathology Development and validation of image analysis pipelines (TMA/WSI), including segmentation and classification
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analysis pipelines and contribute to their development to enable reliable insights using heterogeneous data sources. You will work with sequencing data and corresponding metadata as well as with data from
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Precession Electron Diffraction (SPED) into an existing and well-equipped (S)TEM environment and the development of robust data analysis routines to enhance nanoscale orientation and phase analysis in aluminum
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shaping processes, taking sustainability aspects into account Experimental fabrication and characterization of ceramic materials using modern shaping, analysis, and microscopy methods Participation in
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planning, methodological implementation, documentation, analysis, and interpretation of experimental approaches Acquisition of external funding and development of an independent research profile Contribution
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Platform (SPP). In particular, advanced statistical analysis methods (latent profile analysis, network analysis) and statistical software packages will be utilized. Administrative support for managing
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, teaching and administration at the Department of History of Art at the University of Vienna. The Department of History of Art is the biggest center for research and education in the visual arts in Austria
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 1 day ago
of programming Experience of R, Python and MySQL English language Good communication skills in written and spoken English language (B2 level) Ideally, should also have: Experience in statistical analysis and