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Post-doc in Machine Learning for Image Processing on Embedded Devices (V24.0155) « Back to the overview Job description We are looking to fill a two-year postdoctoral researcher position as a part
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project through DigiAgro3 2024. The main goal of the post-doc project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health
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project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low
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ranking lists. The Faculty of Behavioural and Social Sciences excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues
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postdoc (up to 4 years) and a PhD student. The main focus of this position will be at the interplay between theoretical 21cm cosmology and machine learning. While the postdoc will be stationed at the RUG
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of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to this is individual and societal resilience and
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Sciences excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life
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at the interplay between theoretical 21cm cosmology and machine learning. While the postdoc will be stationed at the RUG, it is expected that there will be frequent collaboration meetings between Amsterdam and
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the form of ontologies and knowledge graphs, while neuro-symbolic learning can be a powerful mechanism to drive knowledge-infused machine learning. The incorporation of domain knowledge is hardly achievable
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machine learning. While the postdoc will be stationed at the RUG, it is expected that there will be frequent collaboration meetings between Amsterdam and Groningen, both online and on site. The PhD student