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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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Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. Application process: Application until 5th of September Online interviews
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persistence of biodiversity commitments. This work will involve the analysis of global political and environmental data and will include engagement with ongoing international biodiversity policy processes
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with international processes related to biodiversity, data, and AI policy Leading and contributing to peer-reviewed publications, collaborative research projects, and funding proposals Presenting
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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 the mineralogical model of the Earth's whole mantle (upper mantle, transition zone, and lower mantle) clarification of the differentiation process of the early Earth from fully molten state exploring the internal
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the spatiotemporal dynamics of neural activity at the local field potential and single-unit levels that support language processing on the cognitive side and epileptic seizures on the pathological side. We use a
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) is a critical protective shield for the brain, but it also poses a major challenge for delivering life-saving drugs to treat neurological diseases like Alzheimer’s disease and brain tumors. Current
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correspondence in German and English, conduct research, and support monthly expense processing and travel planning. In your secondary role as Team Assistant for three project managers, you provide administrative
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Information Technology, Statistics, Signal Processing, or Computer Science (or a related field). Also, strong software development and programming experience is a must. Fluency in the English language is highly