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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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PhD’s degree in mechanical engineering or related engineering field. Know multiple-scale and multi-phase numerical modeling and familiar with lattice Boltzmann simulations Having rich skills in coding in
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form their gear and occuptational environments · complex, multi-scale solid state and aerosol testing and analysis · a wide range of flexibility - applied bench- and full-scale fire testing
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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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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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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
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
epigenomic assays, enabling efficient processing of large-scale multi-omics datasets, and apply them to decipher human diseases. • Translational Discovery: Integrate computational findings with clinical and