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Ph.D. in Genomics, Molecular Biology, Bioinformatics or equivalent Expertise in bioinformatics pipelines (Illumina, MiseQ, Sanger, etc) Taxonomy analysis, diversity, genotyping, etc. Hands on 16s RNA and
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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; Support method development, data interpretation, manuscript preparation, and grant writing. Where to apply Website https://www.academictransfer.com/en/jobs/362808/postdoc-position-in-clinical-im
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conferences, and contribute to practice-oriented outputs and knowledge transfer activities within the NRO consortium. Where to apply Website https://www.academictransfer.com/en/jobs/362497/postdoc-in-ai-driven
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Research Associate, Cellular and Molecular Medicine Posting Number req26354 Department Cellular & Molecular Medicine Department Website Link https://cmm.arizona.edu/ Location Tucson Campus Address 1501 N
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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Mentorship experience of other graduate students or undergrads. Hands on experience building and designing experimental set ups Experience working with image analysis pipelines. About the Department
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Medicine Postdoc Appointment Term: Fixed term for one year, with opportunity for renewal Appointment Start Date: September 2026 Group or Departmental Website: https://med.stanford.edu/neonatology.html(link
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creation, and investment pipelines. The postholder will be based within the Systems Research Group at the Energy & Bioproducts Research Institute (EBRI) at Aston University and will work across
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
Minimum: USD $62,232.00/Yr. Salary Maximum: USD $75,564.00/Yr. GENERAL SUMMARY OF POSITION: Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display