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approaches such as transcriptomics, proteomics, CyTOF and metabolomics. Developing cloud computational infrastructure, integrating multi-omics datasets and applying machine learning methods to high dimensional
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Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek multiple talented and motivated postdocs in computational biology to join the Cancer Genomics and
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analysis of multi-omics datasets and apply machine learning methods to decipher immune responses to infections and vaccines. Selection criteria Ph.D. in computer science, data science, computational biology
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The Rowland Institute at Harvard seeks outstanding early-career experimentalists in all fields of science and engineering to establish fully independent research groups in the rich intellectual
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Johan Paulsson’s lab at Harvard Medical School is spearheading a nationwide initiative to combat antimicrobial resistance using high-precision technology that requires novel microfluidics and
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NIH Cancer Postdoc Fellowships Available! Train in the prestigious National Cancer Institute intramural program Want to train with world-renowned cancer researchers at NIH? Consider joining
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-world impact in natural sciences and engineering-related disciplines. Our program intends to support research that is driven by the fellow and enables them to pursue their own creative ideas in
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located in a modern, fully equipped research facility in the Texas Medical Center in Houston, TX. The goal of the Training Program at the CNRC is to prepare Ph.D. and M.D. recipients for academic careers in
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Atomic Lab (https://atomic-lab.org/) at the National Emerging Infectious Diseases Laboratories, Boston seeks a highly skilled and motivated senior research assistant (research scientist). The successful candidate will play a pivotal role in advancing our research efforts through the application...
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The Department of Biochemistry & Molecular Biology at MUSC has an opening for a highly motivated and collegial Postdoctoral Fellow to work full-time on cancer biology research at the intersection