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Field
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Machine Learning within the School of Medicine at the University of Limerick. This is a methodologically focused PhD for candidates with strong quantitative backgrounds who wish to develop novel statistical
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite applications for a three-year PhD Research Fellowship in
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. The project will combine field experiments and forest health surveys with disease and damage assessment, fungal isolation and culturing, molecular diagnostics, and ecological and statistical data analysis
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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statistical approaches to characterise disease trajectories, develop risk prediction models, and identify factors associated with differential treatment outcomes. The findings will improve understanding of long
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CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne
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(https://www.pe-rc.nl/) through which you can follow courses on ecological subjects, research methods, statistical analyses, and transferrable skills. Terms of employment Depending on education and
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doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results