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Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data ...
available from 01 March 2026 or later. You can submit your application via the link under 'how to apply'. Title Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data
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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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of points within a short time, yielding large amounts of data that need to be visualized and analysed instantaneously during a beam time. Additionally, the varied possibilities at the beamline generate
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statistical genetics techniques to analyse large-scale single-cell and genomic data. Data Analysis: Process, analyse, and interpret high-throughput single-cell and genomic data to derive biologically meaningful
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-centered benchmarks to inform decision-making for large-scale dissemination. Understanding and improving the performance of AI models for weather extremes and shocks, particularly in regions with sparse
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of Data Science is a full-time research focused position at College of Engineering and Computer Science and will have the opportunity to collaborate with the Institute of Big Data Research. COLLEGE
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large-scale experimental and clinical data to advance biomarker and therapeutic target discovery, as well as advancing translational outcomes Precision Health and Aging to advance our current
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of lentiviral libraries for large-scale screening. Familiarity with large-scale data generation and interpretation in screening contexts. Proven expertise in the design and execution of assays to characterise
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systems. Demonstrated expertise in the design, production, and application of lentiviral libraries for large-scale screening. Experience with base or prime editing systems. Familiarity with large-scale data
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the information encoded in our genome to better diagnose, treat, predict and prevent disease. From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we