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Selection process Who we are: One of Europe's leading institutions in the field of pediatric oncology, St. Anna Children's Cancer Research Institute (St. Anna CCRI) investigates the biological foundations
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-funded research project is to improve seismic methods of cavity detection with Full Waveform Inversion. The project entails the acquisition of a 9C-dataset at a test site in a mine and the processing
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by optimizing process flows, which are sequences of Unit Process Instructions (UPIs) describing operations to be performed by tools on developed wafers. The envisaged approach shall employ a hybrid AI
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 1 month ago
into a multidisciplinary work environment, and strong team spirit Good computer skills, especially experience with CAD and 3D modelling software, and processing of 3D point clouds Willingness to travel
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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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dynamics, applying advanced non-targeted metabolomic approaches using high-resolution mass spectrometry, including data processing, metabolite annotation and identification workflows, as
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Innsbruck IQOQIIBK | Austria | about 1 month ago
of quantum information processing with multi-level quantum systems · Demonstrated ability for excellent research in terms of publications/presentations · Highly motivated, team-oriented researcher
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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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