Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Duke University
- Nature Careers
- University of Oxford
- THE UNIVERSITY OF HONG KONG
- University of Adelaide
- ;
- ALMA MATER STUDIORUM - Università di Bologna
- CNRS
- CUNY School of Medicine
- California Institute of Technology
- Ghent University Global Campus
- McGill University
- University College Cork
- University of Maryland, Baltimore
- University of Minnesota
- University of Minnesota Twin Cities
- University of Newcastle
- University of Southern California
- 8 more »
- « less
-
Field
-
. Postdoctoral Research Fellow in Biostatistics and Bioinformatics Duke University is seeking a postdoctoral research fellow in the Department of Biostatistics & Bioinformatics (https://biostat.duke.edu/) within
-
. For the candidate, this will involve prodigious training opportunities: State-of-the-art tools/skillsets in epigenetics and bioinformatics (NGS techniques + systems approaches) and access to core equipment such as
-
experience in immunology, bioinformatics, or scientific presentation and communication will be considered a strong advantage. Project Title: APC Microbiome Ireland Post Duration: 12 Months, Whole-Time Post
-
have at least 6 years of dedicated research experience performing tasks such as molecular cloning, molecular diagnostics, bioinformatics, and genome engineering in prokaryotes and eukaryotes, such as
-
program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
-
cell therapy or related immuno-oncology setting Experience with in vivo tumor models Familiarity with bioinformatics tools for data analysis Knowledge of Good Laboratory Practices (GLP) What We Offer A
-
Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding
-
experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial
-
and characterization, along with proficiency in immunological techniques and assays, are highly desired. Additionally, knowledge of bioinformatics tools and databases for advanced data analysis is