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Postdoc in computational social choice for large-scale deliberation (1.0 FTE) (V25.0203) « Back to the overview Job description A 2-year postdoc position in computational social choice for digital
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Organisation Job description A 2-year postdoc position in computational social choice for digital democracy is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial
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potential to address many of the challenges posed by the energy transition. The Netherlands national hydrogen research programme on hydrogen, Groenvermogen NL (GVNL, https://groenvermogennl.org
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structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer the overall structure of the cosmic web are the various versions of the scale-space
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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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will also collaborate with project partners in other European institutions. Our team has developed and deployed AI algorithms for recognising the sounds and images of Europe’s wildlife. In this project
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algorithms, AI-driven applications and generative AI, exploring how legal mechanisms can prevent and remedy systemic biases that adversely impact LGBTQ+ individuals and which legal routes are available
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include image and speech recognition, recommendation systems, and predictive analytics
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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from