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knowledge of Python. Excellent knowledge of machine learning packages (Scikit, Keras, Pytorch, etc). Competent in the use of HPC systems, virtual machines (OpenNebula) and Grid Containers (Docker, Singularity
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Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/95272
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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equipment, and a demonstrated working knowledge of digital fabrication techniques that could be used in traditional practices. They operate in spaces where students and faculty are engaged in advanced
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to the student and administrative/faculty members as appropriate. Other duties as assigned by the program administrator. Basic knowledge of technology-mediated platforms for blended learning and computer software
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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directors/department chairs/associate deans/deans/supervisors to staff according to enrollment needs. Teach a minimum of one course each semester. Perform other Duties as assigned. Knowledge, Skills, and
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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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be required to submit employment verification documents on their first day of work. For a list of acceptable documentation, follow this link: https://www.indstate.edu/sites/default/files/media