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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project
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splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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in human-AI interaction to join a research team focussed on studying learning and decision-making in humans and machine learning systems. The Human Information Processing (HIP) Lab is headed by Prof
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key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings
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confocal microscopy. Computational experience with R and bash processing. Computer experience with spreadsheet and word processing applications. Experience or willingness to learn quantitative analysis
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preferred. Knowledge, Skills and Abilities Required: Excellent interpersonal skills, dependable, motivated and willingness to learn new tasks. Computer skills, including prior use of Microsoft Office products
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, Indigenization, internationalization, student wellness, undergraduate competencies, and other teaching and learning priorities. Your general location of work will be remote, with the use of your own reliable
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interpersonal and communication skills, both oral and written. Ability to effectively interact with all levels of employees as well as outside contacts. Excellent computer skills including proficiency in MS Word
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techniques such as machine learning. Compensation will be consistent with Penn State’s standard rates. Job Duties: Develop and maintain web scraping scripts to collect data from various online sources Clean