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heterogeneous multi-omics datasets. Integrative Data Analysis: Perform and lead analysis of large-scale multi-omics datasets, including RNA/DNA sequencing, methylation, and metabolomics. Method Development
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statistical tools to analyse large multi-omics datasets from several large-scale prospective cohorts addressing important questions in cancer aetiology and prevention. In addition, you will be passionate about
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research funding • Ability to work as a member of a multi-disciplinary team • Ability to supervise and train less experienced research staff • Ability to manage competing
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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. This project will apply deep learning in the research domains of epidemiology, architecture, and remote sensing on multi-scale data, spanning from the level of the individual household to the metropolitan level
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developing a new quantum sensing platform for probing correlated phases of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic
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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT