49 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" Fellowship positions in United States
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bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act through context specific
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includes geologists, atmospheric scientists, paleontologists, and oceanographers. Additional information about the department may be found at: https://science.gmu.edu/academics/departments-units/atmospheric
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Regular Job Code 8354ST Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Health Policy and Management seeks a Researcher 4 (8354ST
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skills. Experience coding and analyzing video data. Experience coding and analyzing language data. Experience conducting classroom observations in preschool or kindergarten settings. Expertise in advanced
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: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
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that illuminate biological processes in hundreds of human pathogenic viruses. Through this systematic view, we seek to answer fundamental questions in virology: What is the true coding capacity of viral genomes
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; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https
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during cancer development and progression; Role of non-coding RNAs and RNA-binding proteins in onco-immunology and tumor microenvironment. Qualification: We are looking for a highly motivated Ph.D. or M.D
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during cancer development and progression; Role of non-coding RNAs and RNA-binding proteins in onco-immunology and tumor microenvironment. Qualification: We are looking for a highly motivated Ph.D. or M.D
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts