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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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reproducibility and real-world relevance. The position offers opportunities to collaborate internationally and to publish research at leading machine learning and computer vision venues such as NeurIPS, ICML, ICLR
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transporters and related pharmaceutical sciences, enabling close interactions between computational projects and experimental validation. Our vision is to create and apply knowledge across the natural sciences
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and computational chemistry. The position offers the opportunity to contribute to cutting-edge research in one of two main directions: Application of quantum mechanical method (QM/MM) to bioinorganic
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of Civil and Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies
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student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas
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A Ph.D. position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded
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A PhD position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded by
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs
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Postdoc position in Quantum Software and Quantum Communication At the Technical Faculty of IT and Design, Department of Computer Science, a fully-funded postdoc position is available within the area