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Field
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(e.g. reports, policy documents, gray literature, or citizen science observations), Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable
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Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
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Environmental Research and Development Program (SERDP) and the Environmental Security Technology Certification Program (ESTCP) is offering a postdoctoral fellowship. Why should I apply and what will I be doing
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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extensive knowledge of robotic navigation, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and
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feasibility, spatial placement and configuration of NBS and evaluate their performances from a decision support context. The successful applicant must ensure AI and machine learning technologies are well
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, chromatin profiling, genomics, spatial transcriptomics and single-cell data. Apply statistical, machine learning, and network-based approaches to analyze high-dimensional biological data. Collaborate closely
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postdoctoral candidate to join our research group in advancing the next generation of sustainable engine technologies. This position focuses on experimental combustion research, with emphasis on future low
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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pathophysiological mechanisms for acute organ injury research under POI-KB. · Authorship of high-impact first-author or co-author manuscripts in leading informatics and machine learning journals and conferences