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for a highly motivated and qualified PhD student/researcher who will work towards developing new (machine learning and deep learning-based) algorithms and procedures that exploit human labelling and
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weather statistics. During your PhD research, you will explore concepts from complex systems theory and data-driven approaches to multiscale systems to unravel the mesoscale cloud patterns that keep us from
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to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer
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domains in a parameter-efficient fashion. This is especially important for video understanding applications, where annotating large amounts of data is extremely expensive, error-prone and sensitive
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18 May 2024 Job Information Organisation/Company University of Groningen Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 27 Jun 2024
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current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical
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. The PhD researcher will work within the HAICu research project. HAICu (digital Humanities - Artificial Intelligence - Cultural heritage) project is a large-scale Dutch research project by universities
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statistics (e.g. structural equation modelling, and/or big data processing) and programming in R, Python or similar are considered an advantage. Past experience in a European academic environment is considered
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related field; you are interested in clouds and climate change; you like coding, performing numerical experiments and handling large data sets; you have a strong affinity for theory, and love discussing it
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are invited for two fully funded PhD studentships in Computer Vision and Machine Learning on the topic of Detailed Video Understanding. The aim is to go beyond the coarse-grained labels that current models can