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Field
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validation, uncertainty assessment, data assimilation, model initialization, downscaling, or related model-data integration approaches. Excellent analytical, critical-thinking, and problem-solving skills
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, highly organized, and possess strong writing, analytic, and grantsmanship skills. The successful candidate will work with clinically annotated tumor cohorts, clinical trial specimens, public cancer
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Pediatric Hematology
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, Chemistry (i.e., Analytical, Physical), or a related field completed within the last 5 years. Demonstrated skills and hands-on experiences with advanced materials characterization equipment and/or data
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seabed sensing research project focused on characterizing the upper-layer geoacoustic properties of deep-water seafloors. The position will support research involving acoustic sensing technologies, data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. Familiarity with enzyme electrode fabrication, surface modification, and analytical assay development. Strong experimental design, data analysis, communication, and scientific writing skills are required
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-material production, and recycling; compile life-cycle inventories from scientific literature, technical reports, patents, public industrial information, supplier data, and other sources; translate chemical
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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research, preferably with 3D modelling skills. ¿ Foundational expertise in machine learning and big data analytics Job Summary Postdoctoral Researchers support teams of KSU faculty and students
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. The successful applicant will work closely with ORI Information Technology (IT), Electronic Research Administration (ERA), and Data & Analytics teams to develop and share best practices, understand available data