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Areas: Data Science / Computer Science , Machine Learning Computer Science / Artificial Intelligence , Computer Architecture , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human
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an uncertain future. In the context of the twin transition – that is, the complex relationship between digitisation and the green transition – the focus of this postdoctoral position is the question
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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inviting applications for a Postdoctoral Researcher position in the field of Atmospheric Aerosol Physics and Chemistryat the Department of Technical Physics on the Kuopio campus. The position will be filled
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
, machine learning, and plant genomics. Our lab seeks to explore and understand the regulatory network of plant genes, their regulation in response to environmental stress at the single-cell level, and the
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[map ] Subject Areas: Mathematics, AI-based drug design and discovery, Bioinformatics/Protein Engineering/Single-cell Omics Data, Mathematical AI/Machine Learning/Deep Learning, and Computational
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opportunity to contribute to leading-edge research at the intersection of applied machine learning and clinical dental practice. As a member of our team, you will help translate contemporary data science
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: Batavia, Illinois 60510, United States of America [map ] Subject Areas: Astrophysics / High Energy Astrophysics High Energy Physics / Machine Learning Cosmology/Particle Astrophysics Appl Deadline: 2025
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samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation