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particular focus on the application of machine learning and big data methods. The position involves producing high-quality, peer-reviewed research suitable for publication in leading international journals, as
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera ...
available from 01 January 2026 or later. You can submit your application via the link under 'how to apply'. Title Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
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and X-ray free electron laser and its applications in energy science and life science Pixel array x-ray/electron detectors and big data analysis. Qualifications: With excellent academic and scientific
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folding Vanderbilt and Vanderbilt School of Medicine is home to several large data intensive initiatives that the candidate can draw on, such as the BioVU, Human Tumor Atlas Network, HuBMAP, SPORE, Human
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Biology Center(CSBC) in the Center of Excellence for Data-Driven Discovery (C3D) of the Department of Structural Biology seeks a skilled and highly motivated Senior Bioinformatics Research Scientist
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Biology Center(CSBC) in the Center of Excellence for Data-Driven Discovery (C3D) of the Department of Structural Biology seeks a skilled and highly motivated Senior Bioinformatics Research Scientist
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developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built
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historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex