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dynamometry. Develop and maintain analysis pipelines and ensure data quality across sessions. Prepare manuscripts, conference abstracts, and grant applications as first author and contributing author. Develop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Posting Information Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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web components, and plant disease assessments. Specifically, the candidate leads research including experimental design, planning, setup and sampling, data generation and analysis. Experiments could
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biology analysis, bioimaging with advanced image analysis, plant transformation, AnalyzER software for analysis of cellular structures) • Experience with statistical analysis • Excellent team
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-VIS-NIR). Experience in hyperspectral data processing (HMSPL, μXRF, μXAS) and statistical analysis (clustering, machine learning) is preferred. Familiarity with fossilization processes and taphonomic
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, with the possibility of renewal, in the field of Analysis and Partial Differential Equations (PDEs). Job description - The successful candidate will collaborate on research projects related
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closely related discipline. At least 5 years of relevant research experience in agricultural data analytics, remote sensing, machine learning, spatial data analysis, sensor systems, or related areas
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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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/Responsibilities: 75% Research Duties: Neural data collection, analysis; experimental and method development related to the use of Neuropixel recording probes in a preclinical paradigm. Analyze single and multi-unit
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate