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we will apply state-of-the-art machine learning and deep learning techniques on open- access and collected datasets to determine how accurately these systems can identify dock plants under Norwegian
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have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. They must be a strong team
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passion to conduct research and innovation activities on the implementation of Integrated disease management programs with a deep knowledge on the epidemiology and management of plant diseases affecting
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experiences and skills will be emphasized: Desired knowledge/experiences in: Working with diverse remote sensing data Data science topics particularly machine learning and deep learning. High Performance
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located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and
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Materials and Catalysis team consists of 6 scientific staff members (2 full professors, 3 assistant professors, one research fellow), 4 supporting staff members, ~25 PhD students and postdoctoral research
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staff members (2 full professors, 3 assistant professors, one research fellow), 4 supporting staff members, ~25 PhD students and postdoctoral research fellows as well as master and bachelor students. We
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supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell
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techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
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. Basic knowledge in sensing technologies and measurement systems. Basic knowledge in machine learning, deep learning and/or data fusion and modelling tools, and eager to learn about more advanced modelling