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Field
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AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI: Including
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analysis of data. Experience of work with plants or insects in the field or green house. Strong interest in crop protection and crop breeding. Good command of written and spoken English. Meriting
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candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 09/15/2026 Reference no.: 6004 Tenure Track Professorships https://tt.careers.univie.ac.at
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of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video, audio, and sensor data. These AI models move beyond
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found at: https://ivh.ku.dk/english/ . Project description The PhD student will be responsible for developing a PhD study which is based on activities in the above-mentioned projects and monitoring of
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Inspired Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in non-human primate immunology and virology or analysis of spatial omics data to join an
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, as well as connections to Duke initiatives in AI and data science. This search is distinct from, but complementary to, the Duke University Discovery AI Initiative https://academicjobsonline.org/ajo
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, computational science, data science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in ecology, biology, applied mathematics, computational science
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more data-driven and environmentally responsible maintenance