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communicate research on the activity patterns underlying integration in the visual cortex. Activity: Acquisition and analysis of electrophysiological data, oral and written scientific communication. Where
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100%, Zurich, fixed-term The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is headed by Prof. Dr. Ulrik Brandes. We develop network data science methods
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provides biostatistical and data management support for research projects. Biostatistician will be responsible for data analysis and visualization for scientific publications and grant proposals
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software for management and analysis of qualitative data · Effectively develop appropriate qualitative data collection tools, including but not limited to semi-structured and unstructured interview
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evaluation protocols Preparation of data visualizations, research reports, conference presentations, and scientific manuscripts Participation in project meetings and interdisciplinary collaboration with life
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researching questions, fathering and validating relevant information, performing analysis, and communicating findings. Translates findings into actionable insights. Provides timely decision support on emerging
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support while ensuring smooth day-to-day procurement activities. The role also drives procurement performance improvement through data analysis, dashboard reporting, process optimization, training
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Python pipelines for DAS and geospatial datasets, including preprocessing, coordinate transformation, feature extraction, database management, and visualization. Apply geospatial analysis, computer vision
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above. Finalising the dissertation agreement within 12–18 months. Analysing behavioural and neuroscientific data and developing transparent and reproducible analysis workflows. Participating in research
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. The role is best suited to someone with experience of extracting and analysing 3D data, and/or theoretical modelling visual abilities or optical systems. Experience with geometric analysis in Python is ideal