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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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The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for postdoctoral research in systems epidemiology of cancer. This is a 3-year flexible program
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to interact, serve as peer reviewers and advisors to one another, and provide feedback to the faculty regarding the quality and direction of the fellowship training program. Minimum Qualifications PhD in Social
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We are seeking 2 highly motivated postdoctoral fellows with background in either development/stem cell, neuroscience, craniofacial biology to join NIH-funded Jian-Fu Chen laboratory at Center
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of Medicine. Position: You will join an established NIH funded laboratory that is focused on developing innovative proteomics approaches and using these to new methods to address basic science and huma health
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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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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
solutions. Situated in the Computational Biology Research Centre of HT, the Iorio Lab operates at the intersection of biology, machine learning, statistics, and information theory. Our goal is to comprehend