93 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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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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Internet Exchange (AMS-IX), and the Faculty of Science of the University of Amsterdam. About Research group The CWI Machine Learning research group focuses on how computer programs can learn from and
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as
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(UQ) for machine learning and its validation. Your areas of research will be chosen based on both your own expert judgement and insight into trends and developments and on team requirements to ensure
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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English, both spoken and written. Additional experience that would be considered a plus: - some experience in programming and the use of computer algebra in algebraic geometry; - experience with
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spoken and written. Additional experience that would be considered a plus: some experience in programming and the use of computer algebra in algebraic geometry; experience with noncommutative algebraic
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any