45 python "Computer Vision Center" "Computer Vision Center" Postdoctoral positions in Switzerland
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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D
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facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods
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management and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and
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data (e.g., Refinitiv, PitchBook, etc.) and experience with experimental or survey-based methods is a plus; experience with programming languages and statistical software (e.g., R, Stata, or Python
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advanced computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive
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) Interest or experience in multi-modal data integration and trajectory inference Proficiency in Python and/or R Interest in developmental and human biology is highly valued, but not required Strong
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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• Previous knowledge about nanopore experiments, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic