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investigative methods and techniques, using either gas or liquid chromatography and mass spectrometry, with minor modifications and adaptations. Collect, process, monitor and analyze samples and/or data linked
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@manchester.ac.uk Technical and job portal support https://jobseekersupport.jobtrain.co.uk/support/home Applications close at midnight on the closing date. Further particulars (with person specification) linked below.
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and sectioning) Demonstrable expertise in proteomics techniques (gel electrophoresis, ELISA) and mass spectrometry data analysis tools (Proteome Discoverer, Progenesis, Scaffold) Experience working with
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-professorship is based at the Department of Statistics within the Faculty of Mathematics, Informatics and Statistics and is linked with the leadership of a research group Computational Statistics
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California State University, San Bernardino | San Bernardino, California | United States | 9 days ago
and/or who demonstrate a commitment to serving diverse student populations are strongly encouraged to apply. JOB SUMMARY Graduate Assistant will assist with accreditation tasks, data collection, data
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support https://jobseekersupport.jobtrain.co.uk/support/home Applications close at midnight on the closing date. Further particulars (with person specification) linked below.
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data developed by our team and others can be linked to health data and appropriate exposure periods and lags Conduct literature reviews to identify research gaps and appropriate methods Develop
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position in the area of Data Science Computation and adjacent fields. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2027. This search aligns with
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Icahn School of Medicine at Mount Sinai - The Institute for Genomic Health | New York City, New York | United States | 20 days ago
analysis of millions of sequenced genomes linked to real-world clinical data is transforming how we predict, prevent, diagnose, and treat disease. Mount Sinai is one of the few places in the world
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microbial interactions using experimental evolution, microbial ecology, bioinformatics and quantitative analysis. We combine experimental microbiology with data-driven approaches and collaborate with national