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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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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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expertise in collecting and analyzing high-quality nutrition data from children and families, leveraging large datasets, and applying cutting-edge technologies, including artificial intelligence (AI) and
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river channels, altering their topography, destabilising banks, and changing how water and sediment move through large rivers. While these impacts are becoming clearer, what remains poorly understood is
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a
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wind farms in the UK and neighbouring countries is expected to triple in less than five years. Newer wind farms are also deploying very large turbines of 14 MW or more, meaning that wake effects between
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27 Oct 2025 Job Information Organisation/Company IMDEA Networks Institute Department Opportunistic Architectures Lab Research Field Engineering » Electrical engineering Computer science » Other
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narrow down what parts of our genome are actually important for defining modern human-specific biology. This project will analyse data from these ultra-large datasets, alongside data from our great apes
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extended abstract of your Master thesis. Two letters of recommendation should also be provided here by the deadline. Only complete application will receive full consideration. Fore more information on BIGS
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and arms for both autonomous and prosthetic applications. If you’re excited by all this, we encourage you to apply. The opening: In this project, you will develop: Detailed, large-scale computer models