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Machine Learning and SNP Subset” which is focused on genetic evaluations of 305 milk yield (MY305) in Gir cattle using machine learning and genomic relationship information calculated from genetic single
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staff position within a Research Infrastructure? No Offer Description Applications are open for a post-doctoral fellowship to conduct research on Machine Learning applied to Industry 4.0 at the IAsmin
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the plastic and recycling chain; - Participation in conferences and academic and plasticulture sector events; - Development and testing of machine learning models to map plastic structures in crops, as
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learning to gain a deeper understanding of urban life. We explore applications in areas like traffic management, public safety, environmental monitoring, and urban planning. ** Specific Research Areas
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, genome, metagenome, or (meta)-transcriptome assembly and annotation, etc.; - Desirable experience with high-performance computing, machine learning, data visualization, and big data management; - Strong
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techniques; Machine Learning 5G, 6G, IoT, and embedded systems; Demonstrated relevant academic production in high-impact scientific journals; Advanced English proficiency. Responsibilities: 1) Elaboration