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scientists, clinicians and mathematicians will explore the mechanisms of evolved adaptive response to therapeutic selective pressures in colorectal cancer. You will develop and apply advanced bioinformatics
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for a creative post-doctoral scientist with strong background in soil microbiome, multi-omics [metagenomics/transcriptomics/metabolomics], as well as bioinformatics. Responsibilities: This researcher will
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 2 hours ago
translational cancer research, with access to approaches including molecular and cell biology, biochemistry, animal models, immune profiling, metabolomics, and bioinformatics. Postdoctoral researchers benefit
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for the candidate with PhD in computational biology, bioinformatics, pharmacology, pharmacoinformatics or a related field. Established scientific record in both a biological discipline and bioinformatics
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analyze single-cell RNA sequencing (scRNA-seq) datasets using biostatistical and bioinformatics approaches. Conduct molecular, cellular, biochemical, and immunological analyses to support research
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analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering, electronics, biostatistics, mathematics, physics, biomedical engineering, or
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We are seeking an enthusiastic and highly motivated Postdoctoral Research Associate in Microbial Bioinformatics to join the PathNoma Alliance, an international multidisciplinary research programme
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should hold, or be close to completion of, PhD/DPhil in molecular microbiology or biochemistry. You must have relevant experience in molecular bacteriology, plasmid biology and bioinformatics, specifically
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clinical partners in Europe and the US has been established. The successful candidate will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties
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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with