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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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undergraduate student training. Qualifications Ph.D. and minimum one year postdoctoral training in entomology or related discipline. Experience in computational modeling and artificial intelligence is desirable
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written communication skills. Ability to publish scientific research papers/articles and reports. Must be computer literate with proficiency and working knowledge of Microsoft Word, Excel and PowerPoint
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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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REQUIREMENTS: Seeking a highly motivated undergraduate research assistant with strong interdisciplinary interests in data science and artificial intelligence. Ideal candidates should have foundational experience
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risk and protective processes in children and young people. The researcher will take a leadership role in the design and implementation of program research, data analysis, interpretation and
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improvement Excellent written and verbal communication skills. Proficiency with computer programs – specifically MS Office (Word, Excel, and PowerPoint). Maintain excellent lab notes and records. Demonstrated
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to established study design and procedures. This program will be obtaining a variety of biospecimens from women with suspected or confirmed gynecologic cancers as well as healthy women. The incumbent will be
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, unique research facilities, and a culture of collegiality and persistent pursuit of pre-eminence. According to the latest US News and World Report’s disciplinary graduate program rankings, Purdue
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appetite becomes increasingly ravenous in powering the modern information age. The energy driving artificial intelligence, cloud computing, and data centers will utilize 15% of TOTAL world production by 2040