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, textual, and temporal data for management applications. Recently awarded several major grants, our center is at the forefront of bridging sophisticated AI research with practical business applications. The
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science. Projects that create strong synergies with the large-scale facilities of the Paul Scherrer Institute - such as synchrotron radiation, X-ray free-electron lasers, muons, or neutrons - or the Swiss
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fluids. Together with the Bioinformatics team, the Proteomics Unit covers all steps from initial consultation, experimental design, sample preparation, liquid chromatography mass spectrometry (LC-MS) data
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may include: how digital ecosystems shape collective environmental action how institutional designs, governance structures, and policy influence data stewardship how technology policy affects
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natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job
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of institutional repositories, enhancement of national and global academic data. You will compile reports and other project deliverables. Furthermore, you will support the organisation of the project (meetings
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to enhance stability, reduce variability, and enable data-driven optimization and maintenance strategies. Job description Your Tasks Develop and implement AI methods for in-process monitoring of surface
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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to build a comprehensive database linking pharmaceutical production and global trade data to support work on data-driven policies for resilient market design. Project background This position consists