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Field
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machine learning to objectively detect changes associated with disease progression, thus identifying features that reliably predict malignant change. Objectives: Evaluate histo-morphological features
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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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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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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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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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beyond HS Diploma/Graduation Equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Some college courses. Experience in using a personal computer. Ability to work
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. The goal of this research is to enhance power quality and security for Naval power systems using non-intrusive approaches, advanced signal processing tools and machine learning to advance anomaly detection
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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
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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