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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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for different user groups. -Supports the research groups in all technical matters relating to the analysis of programmed and networked art. Where to apply Website https://www.unibz.it/it/home/position-calls
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, fieldwork, data processing, reporting and project administration. The successful candidate will be proficient in applying integrated spatial analysis techniques to coastal and marine environmental data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, and priorities by visiting https://library.unc.edu/about/strategic-framework/’. Position Summary This position may be eligible for a hybrid work arrangement that may include a partially remote work
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studies and concomitant data analysis. This is a request for hiring a bioinformatics scientist to support pre and post processing of LC-MS data generated in the Metabolomics Shared Resource. Dr. Yoel
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes
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of commencement of employment). Have proven experience with quantitative and qualitative research methods, including surveys, interviews, workshop design, and statistical techniques of data analysis. Have
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statistical techniques to analyse large datasets, e.g. multivariate statistical analyses / survival analysis - Recent, relevant experience of using statistical packages STATA or R to conduct reproducible
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stakeholders when issues arise to ensure appropriate communication and develop effective resolution plans. Skilled in problem-solving, analysis, follow-through, influence, and persuasion Detail-oriented and
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. Duties/Responsibilities: 1. Data Management, Review, & Analysis (70%) Advanced Neural Signal Processing: Apply quantitative analysis, signal processing, and machine learning methods to high-dimensional EEG