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automates building and modifying surface structures, submitting DFT calculations, post-processing electronic structure and vacancy energies, and extracting machine-learning descriptors for modeling oxygen
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Applications: Microsoft Excel, Microsoft Word, Microsoft Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Demonstrate organizational skills with ability to work
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technical support and/or sales of computers and supporting software. Excellent customer service skills. Ability to learn the computerized inventory control/accounting/point-of-sale system. Ability to become
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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review activities; Teach and evaluate medical students, psychiatry residents, fellows, and allied health professional fellows/students/trainees in both clinical activities at University Hospital as
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computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel required Willingness to learn new computer programs as needed to sustain practice operations Preferred
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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: Instruct classes utilizing techniques and knowledge of the discipline that facilitate student learning. Effectively use computer applications for instruction, communication where appropriate and maintaining
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This Employer https://main.hercjobs.org/jobs/21940328/senior-ai-machine-learning-engineer Return to Search Results
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reference. The student will focus primarily on the photonic integration of machine learning methods, contributing equally to the development of ML algorithms in this context. Their work will include