153 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS
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cytometry, non-invasive whole animal imaging, spatial transcriptomics and mass spectrometry, gnotobiotic research, advanced genomics, proteomics, and metabolomics, and high-performance computing. Candidate
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess
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Florida Coastal Everglades Long-Term Ecological Research program , Coastal Conservation and Restoration Laboratory , Water -OMICS facility, and the Robotics and Autonomous Systems Laboratory for Coastal
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams and
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The High Meadows Environmental Institute (HMEI) at Princeton University is accepting applications for the 2027-28 HMEI Environmental Fellows Program. This postdoctoral program seeks scholars from
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on ancient microbial genomes, pathogens, or microbiomes. Candidates should be familiar with both wet lab and computational approaches and demonstrate a commitment to conducting research within ethical
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https