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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
prestigious universities, and the USC Leonard Davis School of Gerontology features one of the worlds best degree and research programs in gerontology. The USC Leonard Davis School of Gerontology has
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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provided throughout the recruitment process. Enjoy an outstanding career environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including
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status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB’s Assistant Vice President and
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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. Knowledge of Python programming language, including experience in developing scripts and tools for data processing and analysis. Demonstrated ability to meet deadlines and deliverables. Willingness and
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independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working knowledge of natural language processing, topic modeling
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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE