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English. Computer skills are of crucial importance: Word Processing, Internet, and database experience is required. The expected pay for this position is $3,800/month for a 0.5FTE position. This posting is
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objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising
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TASKS Contribute to publications resulting from the work. Assist in data analysis and regulatory approval applications. Attend workshops and seek learning opportunities to acquire new laboratory and
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objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising
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approaches in research design and data analysis, including: Advanced biostatistics and epidemiology, Applications of artificial intelligence and machine learning, and Leveraging diverse data sources (e.g
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. Experience with cleaning and analyzing complex, large scale, potentially incomplete data from varying sources. Extensive knowledge of relevant generative AI and machine learning packages, libraries, and tools
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. Experience with cleaning and analyzing complex, large scale, potentially incomplete data from varying sources. Extensive knowledge of relevant generative AI and machine learning packages, libraries, and tools
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) and dynamic spread models for invasive forest and agricultural pests, integrating multi-source ecological data using machine learning and statistical approaches. Develop and validate phenological models
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. Possible foci include AI applications in big data analysis (social), brain and thought process modeling (developmental, cognitive neuroscience), or multi-unit activity networking (behavioural neuroscience
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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs