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Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
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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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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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(coupled via heterogenous multi-scale methods) friction/wear models (for modified load/torque transmission) and bone ingrowth models to predict primary and secondary fixation. Conduct in silico parameter
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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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this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t24-b.pdf . The current full-time base salary range for this position is $55,000 - 194,800. 'Off-scale
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 11 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
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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