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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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aspects of data analysis: raw data QC, alignment and pre-processing, primary and secondary data analysis. Learn new approaches and then apply these to undertake a variety of cancer-related analyses
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
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helpdesk technician in this role will work with faculty, staff, and PhD students to troubleshoot and resolve problems with computer hardware and software applications on school issued desktops, laptops, and
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is composed of stereotyped and uniquely identifiable neurons, plus machine learning approaches to computer vision, offers the opportunity to automatically map many connectomes across many animals, and
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such as large language models, machine translation, and automatic speech recognition and synthesis have on translators, as well as their impact on the profession, practice, training and society at large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
manual dexterity for computer work. Occasional night and weekend work required. Campus Security Authority Responsibilities Not Applicable. Special Instructions Applicants will need to submit a cover letter
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Project Overview We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI
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large-scale focused efforts: achieving quantum advantage through coherence-driven materials design and realizing scalable, modular quantum systems. These efforts integrate vertical co-design, from
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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data