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Applications should include: Curriculum Vitae with the list of publications Cover letter Copies of previous degrees Names and contact details of two academic referees Early application is highly
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Applications should include: Curriculum Vitae including a list of publications or manuscripts in preparation (if applicable) and details of MSc training Cover letter Copies of degree certificates
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Computer Science, Data Science, Machine Learning, or an Engineering/Science discipline with a data science/analytics component. To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk
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such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
prerequisite; Experience conducting genome editing (CRISPR), flow cytometry/FACS. Experience with NGS library preparations, including for single-cell transcriptomics. Ability to compile and analyze data using
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students are welcome to apply, but should note that the award will cover only the home fee amount (c. £5,000); the remaining international fee must be self-funded. You can find more information on the
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meals for field teams, and renting and driving vehicles. Collecting and processing data, and ensuring regular backups to RUG and KNIR storage systems. Short stays at the KNIR Institute in Rome may be
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
methods. Ability to compile and analyze data using standard statistical methods. UMass Chan offers strong support and mentoring, a collaborative research environment, a competitive salary with benefits, and
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charge which provide an ideal interface between human-built devices (where signals are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical
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. The Faculty of Population Health Sciences has established itself as UCL’s largest research-based faculty, encompassing eight institutes. More information available at www.ucl.ac.uk/population-health-sciences